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A multinode quantum network over a metropolitan area

Jian-Long Liu Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Xi-Yu Luo Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Yong Yu Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China Kavli Institute of Nanoscience, Department of Quantum Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands    Chao-Yang Wang Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Bin Wang Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Yi Hu Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Jun Li Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Ming-Yang Zheng Jinan Institute of Quantum Technology, Jinan, China    Bo Yao Anhui Provincial Key Laboratory of Photonics Devices and Materials, Anhui Institute of Optical and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, Anhui 230031, China Advanced Laser Technology Laboratory of Anhui Province, Hefei, Anhui 230037, China    Zi Yan Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Da Teng Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Jin-Wei Jiang Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Xiao-Bing Liu Anhui Provincial Key Laboratory of Photonics Devices and Materials, Anhui Institute of Optical and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, Anhui 230031, China Advanced Laser Technology Laboratory of Anhui Province, Hefei, Anhui 230037, China    Xiu-Ping Xie Jinan Institute of Quantum Technology, Jinan, China    Jun Zhang Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Qing-He Mao Anhui Provincial Key Laboratory of Photonics Devices and Materials, Anhui Institute of Optical and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, Anhui 230031, China Advanced Laser Technology Laboratory of Anhui Province, Hefei, Anhui 230037, China School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, Anhui 230026, China    Xiao Jiang Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Qiang Zhang Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China Jinan Institute of Quantum Technology, Jinan, China    Xiao-Hui Bao xhbao@ustc.edu.cn Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China    Jian-Wei Pan pan@ustc.edu.cn Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, Anhui 230026, China Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
Abstract

Towards realizing the future quantum internet, a pivotal milestone entails the transition from two-node proof-of-principle experiments conducted in laboratories to comprehensive, multi-node setups on large scales. Here, we report on the debut implementation of a multi-node entanglement-based quantum network over a metropolitan area. We equipped three quantum nodes with atomic quantum memories and their telecom interfaces, and combined them into a scalable phase-stabilized architecture through a server node. We demonstrated heralded entanglement generation between two quantum nodes situated 12.5 km apart, and the storage of entanglement exceeding the round-trip communication time. We also showed the concurrent entanglement generation on three links. Our work provides a metropolitan-scale testbed for the evaluation and exploration of multi-node quantum network protocols and starts a new stage of quantum internet research.

Quantum networks [1, 2] operate differently from their classical counterparts, as their nodes can store and process quantum information and are linked through the sharing of entangled states. The non-local nature of entanglement enables a range of disruptive applications such as quantum cryptography [3], distributed quantum computing [4], and enhanced sensing [5, 6]. Quantum nodes within a metropolitan area can be entangled through optical channels of a few tens of kilometers with a moderate transmission loss (e.g. 1010 dB for 50 km fiber at 1550 nm). For entangling intercity nodes, quantum repeater protocols [7, 8] need to be implemented to overcome the exponential growth in transmission loss. Fig. 1A envisions a wide area complex quantum network, consisting of a number of high-connectivity metropolitan area networks that are furthermore interconnected via quantum repeater channels.

The building block of a quantum network is the heralded entanglement between a pair of adjacent quantum nodes. This has been successfully demonstrated across various physical platforms including atomic ensembles [9, 10, 11], single atoms [12], diamond nitrogen-vacancy centers [13, 14, 15], trapped ions [16], rare-earth doped crystals [17, 18] and quantum dots [19, 20], among others. Currently, the maximum physical separation achieved is 1.3 km [14]. Building on this progress, three-node quantum network primitives have been established recently on a laboratory scale [21, 22, 23], opening up opportunities for multi-user applications such as the creation of three-body entangled GHZ states [21, 22], entanglement swapping between two elementary links [22], and qubit teleportation between non-neighboring nodes [23]. The next challenge is to extend these laboratory or short-scale experiments to a metropolitan scale, which needs the combination of several requirements: low fiber transmission loss, independent quantum nodes and a scalable network architecture. Thanks to the great progress of the quantum frequency conversion (QFC) technique [24], platforms operating at high transmission-loss wavelengths are now able to access the fiber network with minimal loss. This has enabled a series of works distributing local light-matter entanglement over up to a few kilometer fibers [25, 26, 27, 28, 29, 30]. Furthermore, two seminal experiments demonstrated heralded entanglement between two quantum nodes via long fiber links, one using two single atoms and 33 km of fiber [31] and the other using two atomic ensembles and 50 km of fiber [32]. However, the entanglement between two single atoms was generated at a low rate of approximately 1 min-1 and the entanglement between two atomic ensembles was generated between two non-independent nodes, raising concerns about their scalability towards large-scale and multi-user scenarios.

Here, we overcome these challenges with a set of key innovations and present a multinode quantum network over a metropolitan area. Our network consists of three quantum nodes (Alice, Bob, and Charlie) and a server node arranged in a star topology (Fig. 1D). The three quantum nodes are located on the three vertices of a triangle with sides of 7.9 km to 12.5 km in length in Hefei city, and run independently. The server node is situated approximately in the center of the triangle and linked to each quantum node via optical fibers for both classical and quantum communication. In each quantum node, a cavity enhanced laser-cooled Rubidium atomic ensemble serves as the long-lived quantum memory [33], generating atom-photon entanglement using the Duan-Lukin-Cirac-Zoller (DLCZ) protocol [34]. The photon is sent to the server node for entangling, while the atomic qubit is stored for subsequent applications. To reduce photon loss in the fiber, each quantum node is equipped with a QFC module, which coherently shifts visible photons at the Rubidium resonance to the telecom O band [32]. Quantum nodes are furthermore synchronized in phase using a remote phase stabilization method. Using this architecture, we demonstrated the generation of entanglement between distant quantum nodes and the storage of entanglement exceeding the round-trip communication time. Furthermore, we extended the remote entanglement generation to all three links in the network and executed them concurrently.

Refer to caption
Figure 1: The multinode metropolitan area quantum network. (A) An envisioned architecture of a wide-area quantum network. Most of the quantum nodes are densely located in metropolitan areas (shaded in brown), forming numerous metropolitan area networks. Each metropolitan area has a server node that connects and synchronizes all quantum nodes using optical fibers (blue lines), facilitating remote entanglement generation between any pair of quantum nodes upon request. Quantum nodes in different cities establish remote entanglement through quantum repeater links (orange lines) that connect the metropolitan area networks. (B) The scheme of the quantum node. A cloud of 87Rb atoms in a ring cavity works as a quantum memory. We create local entanglement between the atoms and a write-out photon by applying a write pulse. The write-out photon is collected along the anticlockwise cavity mode and outcoupled through a partially reflective (PR) mirror. The write-out photon is shifted to the telecom wavelength using a PPLN and a 1950 nm pump laser, and then sent to the server node. A combination of dichroic mirrors (DM), long-pass filters (LP), and bandpass filters (BP) is used for noise filtering in the conversion process. The atomic state can be retrieved to the clockwise cavity mode by applying a read laser pulse. All lasers are locked to a reference cavity. The write and read lasers are furthermore synchronized using an OPLL. (C) The scheme of the server node. An optical switch controlled by a QRNG routes two out of three inputs to the interferometer. A beamsplitter (BS) performs single-photon interference, and the results are measured by two SNSPDs. An FPGA is used to analyze the PP interference data from the SNSPDs and compensate the phase to the EOM on one arm of the interferometer (see the main text). (D) The layout of the multinode quantum network studied in this work. Three quantum nodes, labeled Alice, Bob, and Charlie, and a server node are located in four laboratories in the Hefei city. The violet lines represent the fiber connections (lengths indicated), and the black lines indicate the physical distance between quantum nodes. Map data from Mapbox and OpenStreetMap.

Network architecture for remote entanglement generation

Refer to caption
Figure 2: Weak-field phase and frequency stabilization. (A) Schematic and time sequence of the phase stabilization method. We probe the phase difference of two nodes by interfering two PP pulses on the entanglement generation facilities. A weak pulse intensity is used to prevent SNSPD latching. An FPGA extracts the phase difference by analyzing the counts of two SNSPDs and applies the feedback to the EOM. In each trial, PP pulses are sent before the write process, and a gap of τΔ=5μ\tau_{\Delta}=5~{}\upmus is secured to reduce the afterpulses-like noise of SNSPDs. Each PP pulse lasts for τpp=4μ\tau_{\textrm{pp}}=4~{}\upmus and contains 100\sim 100 photons upon arrival at the beamsplitter. The feedback takes up to 2 μ\upmus. In practice, we execute an additional probe-feedback right before the stabilization process to improve performance. (B) Characterization of the phase stabilization. Two histograms show the detected phase distributions with (orange) and without (blue) executing the phase stabilization. When running the phase stabilization, we perform single-photon interference by sending weak pulses from two nodes. The pink data points show the interference visibility as a function of their phase difference. The pink curve is a sinusoidal fitting of the data points. The error bars represent one standard deviation. (C) Interference visibility of PP pulses as a function of the frequency difference between two nodes. Red data points show the variation in visibility when deliberately changing the frequency difference. The red line is a linear fitting of the data points within ±5\pm 5 kHz. The two histograms in insets show the distribution of the counts of two SNSPDs (D1 and D2) within a 120 s timeslot, with the corresponding data points highlighted. (D) Tracking of laser drift over 76 hours. The green curve shows the detected frequency difference after compensation. The orange curve plots the compensation value, which approximates the original laser drift. We plot the temperature of Bob in blue, which shows a strong correlation with the laser drift.

We generate remote entanglement between a pair of distant quantum nodes via a single photon scheme [34]. We start by preparing the light-matter entanglement in each quantum node (Fig. 1B) using the DLCZ protocol [34]. A weak write pulse induces a spontaneous Raman-scattered photon (write-out) in a small probability χ1%\chi\approx 1\%, whose presence and absence is associated to that of collective excitation of the atomic ensemble. This forms a Fock-basis light-matter entanglement |Φap=|00+χ|11\ket{\Phi_{\textrm{ap}}}=\ket{00}+\sqrt{\chi}\ket{11}, where 0 and 11 refer to the number of photon or atomic excitation, indicated by the subscript a and p, respectively, from hereafter. The atomic excitation can be stored up to 560 μ\upmus until being retrieved for following operations [30]. The write-out photon is down-converted from 795 nm (3.5 dB/km) at Rubidium resonance to 1342 nm (0.3 dB/km) in the telecom O band in a periodically poled lithium niobate (PPLN) waveguide chip with the help of a strong 1950 nm Pump laser. The telecom photon then is sent to the server node for interference. The QFC module, including the down-conversion, noise filtering and fiber coupling, constitute an end-to-end efficiency of 46% and noise of 100\sim 100 Hz. In the server node (Fig. 1C), a beamsplitter combines the write-out photon from two quantum nodes and erases their which-path information. A click from a superconducting nanowire single photon detector (SNSPD) heralds the maximally entangled states between two ensembles

|Ψaa±=(|01±eiΔφ|10)/2,\ket{\Psi_{\textrm{aa}}^{\pm}}=(\ket{01}\pm e^{i\Delta\varphi}\ket{10})/\sqrt{2}, (1)

where the ±\pm sign depends on the heralding detector. Δφ=Δφw+Δφp+Δφf\Delta\varphi=\Delta\varphi_{\text{w}}+\Delta\varphi_{\text{p}}+\Delta\varphi_{\text{f}} accounts for the optical phase difference accumulated during the entangling process, including Δφw\Delta\varphi_{\text{w}} and Δφp\Delta\varphi_{\text{p}}, the phase difference of Write lasers and of Pump lasers in two nodes, respectively, as well as Δφf\Delta\varphi_{\text{f}}, the phase difference of two fiber channels.

The key to the success of the single-photon scheme lies in accurately setting Δφ\Delta\varphi to a known value. To this end, previous laboratory experiments have typically used an ad hoc laser shared by separated nodes, and locked the closed-loop interferometer composed of the laser splitting paths and the quantum channels [9, 20, 32, 22, 17]. It adds complexity to the networking by requiring additional fiber and hardware resources and exposes the quantum nodes to the risk of potential attacks during quantum communication [35]. Crucially, additional unknown fiber phases are introduced to the generated state, which erases the state’s coherence.

To address these challenges, we developed a network architecture based on a weak-field remote phase stabilization method. The method relies on detecting the phase difference Δφ\Delta\varphi in situ at the entanglement generation facilities using weak-field phase probe (PP) pulses and photon counting, and compensating for it immediately, similar to that being realized recently in quantum key distribution experiments [36]. To obtain an accurate measurement of Δφ\Delta\varphi, we prepare a PP pulse with a length of τpp=4μ\tau_{\textrm{pp}}=4~{}\upmus at the write-out photon’s frequency from the Read laser (due to its frequency likeness to the write-out photon) in each node, and use it to simulate the write-out photon’s transmission τΔ=5μ\tau_{\Delta}=5~{}\upmus earlier than the entanglement trial. Analogous to the entangling process, two PP pulses interfere in the server node, with the results reflected in the counts of SNSPDs. We extract the phase difference Δφpp\Delta\varphi_{\text{pp}} from the interference and compensate for it in an electro-optical modulator (EOM) before the interference beamsplitter. This method has three critical requirements for the PP pulses: their frequency difference is much smaller than 1/τpp1/\tau_{\textrm{pp}}, their linewidths are much narrower than 1/τpp1/\tau_{\textrm{pp}} and 1/τΔ1/\tau_{\Delta}, and they inherit the same laser phase as the write-out photons. To meet these requirements, we lock all lasers in each node onto a reference cavity and get a linewidth of sub-kilohertz and a drift of a few kilohertz per day for all lasers. We perform a one-off frequency calibration of the corresponding lasers in different nodes. Additionally, we synchronize the Write and Read lasers using an optical phase-locked loop (OPLL). As a result, each PP pulse differs from the corresponding write-out photon with a phase θ\theta, leading to a residual phase Δθ\Delta\theta (the difference of θ\theta in two nodes) in Eq. 1 after compensation. One can either remove Δθ\Delta\theta by synchronizing the OPLLs in two nodes or choose Δθ\Delta\theta as the phase reference to observe the entanglement. We chose the latter method in the following experiments.

In practice, we conduct twice the phase stabilization in each trial for a better performance (Fig. 2A). To characterize the stabilization performance, we send an additional PP pulse from each quantum node 5 μ\upmus after the feedback and find a Gaussian phase distribution with a standard deviation of 17, as shown in Fig. 2B. By changing the relative phase between the additional pair of PP pulses, we observe a sinusoidal oscillation of their interference visibility (Fig. 2B), which confirms a good phase correlation between two nodes.

An additional challenge in operations arises from the slow frequency drift of the reference cavities, which can transfer to the lasers and eventually to write-out photons. To avoid this, we employ a continuous frequency calibration using the PP interference data. We determine the minor laser frequency offset Δω\Delta\omega by analyzing the phase evolution between successive entanglement trials over a duration of tt and compensate it to the Pump lasers. Considering the long coherence time of the lasers (1\approx 1 ms) and the slow fluctuations in the fiber, the phase evolves solely due to Δωt\Delta\omega t. We verify this by observing the interference visibility as a function of Δω\Delta\omega shown in Fig. 2C. Through the implementation of the calibration, we are able to maintain Δω0.1\Delta\omega\leq 0.1 kHz over a span of 76 hours, despite an observed drift of 5 kHz (Fig. 2D).

Entanglement between a pair of distant nodes

Refer to caption
Figure 3: Entanglement between a pair of distant quantum nodes. (A) The experimental setup for entanglement verification. In each node, a weak EP pulse that has the same frequency and profile as the read-out field but is orthogonally polarized assists in the verification process. We combine the EP pulses and the read-out fields using PBSs, perform the polarization measurement in each node, and detect the remote entanglement by analyzing the correlation between two nodes (see the main text). (B) Measured correlation function g(2)g^{(2)} (results of the Hong-Ou-Mandel experiment) between a read-out field and an EP pulse as a function of their detuning. The orange line shows a Gaussian fit and the black dashed line indicates the thermal-coherent interference limit. (C, D) Reconstructed density matrices of |Ψpp+\ket{\Psi_{\textrm{pp}}^{+}} and |Ψpp\ket{\Psi_{\textrm{pp}}^{-}}, respectively, after 5 μ\upmus of storage. (F, G) Reconstructed density matrices of |Ψpp+\ket{\Psi_{\textrm{pp}}^{+}} and |Ψpp\ket{\Psi_{\textrm{pp}}^{-}}, respectively, after 107 μ\upmus of storage. In the density matrix figures, blue bars refer to the tomography of the read-out fields, and the transparent bars rescale the tomography to two atomic ensembles. (E, H) Correlation measurements of |ΨPME+\ket{\Psi_{\textrm{PME}}^{+}} and |ΨPME\ket{\Psi_{\textrm{PME}}^{-}}, respectively. The blue and orange bars refer to the results for the 5 μ\upmus and 107 μ\upmus storage cases, respectively. The error bars represent one standard deviation.

We first generate remote entanglement between Alice and Bob. In addition to laser frequency and phase stabilization, we apply polarization filtering using a fiber polarizing beamsplitter (PBS) for the photons when they arrive the server node and continuously adjust an electrical polarization controller before the PBS to maximize the filtering efficiency (not shown in the setup schematic). To measure the distant entanglement between the two atomic ensembles, we retrieve each atomic state to a photonic mode via a read pulse generated from the Read laser, and obtain |Ψpp±=(|01±eiΔφr|10)/2\ket{\Psi_{\text{pp}}^{\pm}}=(\ket{01}\pm e^{i\Delta\varphi_{r}}\ket{10})/\sqrt{2}. To evaluate the entanglement, one needs the knowledge of coherence dd between |01\ket{01} and |10\ket{10}. As it is experimentally hard to perform qubit operations in the Fock basis, prior experiments mostly inferred dd by interfering two read-out modes using a beamsplitter [9, 32, 17], which is not favorable for spatially separate cases. To overcome this challenge, we develop a method based on the weak-field homodyne measurement schemes [37, 38] that allows us to witness remote Fock-basis entanglement through local operations and measurements. Additionally, our method effectively converts the Fock-basis entanglement into a polarization maximally entangled (PME) state [34], making it accessible for entanglement-based communication schemes.

Our method starts by generating an entanglement probe (EP) pulse from the Write laser in each node. It is a weak coherent light field that has the same frequency and profile as the read-out field, but orthogonally polarized. When choosing the phase reference of eiΔθe^{i\Delta\theta}, one can write the joint state of two EP pulses as |EPA|EPB=|α|A|α|BeiΔφr\ket{\textrm{EP}}_{\textrm{A}}\ket{\textrm{EP}}_{\textrm{B}}=|\alpha|_{A}|\alpha|_{B}e^{i\Delta\varphi_{r}}, which is in phase with |Ψpp±\ket{\Psi_{\text{pp}}^{\pm}}. Next, we combine the read-out field with the EP pulse in every node using a PBS and perform projection measurements under different polarization bases (Fig. 3A). Initially, we measure the mixed field in both nodes in the |H/|V\ket{H}/\ket{V} basis. On the detector corresponding to horizontal polarization, the EP is removed, thus we find p00p_{00}, p01p_{01}, p10p_{10}, and p11p_{11} through statistical analysis, where pijp_{ij} represents the probability of having ii excitations in Alice and jj excitations in Bob. When measuring in the superposition basis, the read-out field interfere with the EP pulses, resulting in remote correlation. Specifically, when |H±|V\ket{H}\pm\ket{V} basis is chosen, we have the correlation function

E±=N+++NN+N+N+++N+N++N+,E_{\pm}=\frac{N_{++}+N_{--}-N_{+-}-N_{-+}}{N_{++}+N_{--}+N_{+-}+N_{-+}}, (2)

where NmnN_{mn} represent the coincidence events between the mm mode in Alice and nn mode in Bob (m,nm,n takes ++ or -, referring to |H+|V\ket{H}+\ket{V} and |H|V\ket{H}-\ket{V}, respectively). In this case, we find |d|(p01+p10+2p00p11)|E±|/2|d|\geq(p_{01}+p_{10}+2\sqrt{p_{00}p_{11}})|E_{\pm}|/2. Now we can estimate the degree of entanglement with concurrence 𝒞=max(0,2|d|2p00p11)\mathcal{C}=\textrm{max}(0,2|d|-2\sqrt{p_{00}p_{11}}). This measure ranges from 0 for a separable state to 1 for a maximally entangled state.

Although being a good measure of entanglement, 𝒞\mathcal{C} does not indicate how useful the entangled state is in entanglement-based communication. To answer this question, we consider the mixed field right after the combining PBS at each node, which can be approximated (with arbitrary phase factors and no normalization)

(aA,H±aB,H)(𝟙+αaA,V)(𝟙+αaB,V)|0,(a^{\dagger}_{\textrm{A},H}\pm a^{\dagger}_{\textrm{B},H})\otimes(\mathds{1}+\alpha a^{\dagger}_{\textrm{A},V})\otimes(\mathds{1}+\alpha a^{\dagger}_{\textrm{B},V})\ket{0}, (3)

where 𝟙\mathds{1} is the identity operator and aa^{\dagger} is the photon creation operator with the subscript indicating its node (Alice or Bob) and polarization (HH or VV). Selecting at least one photon at each node, Eq. 3 becomes

|ΨPME±=α(aA,HaB,V±aA,VaB,H)|0+o(α2).\ket{\Psi_{\textrm{PME}}^{\pm}}=\alpha\left(a^{\dagger}_{\textrm{A},H}a^{\dagger}_{\textrm{B},V}\pm a^{\dagger}_{\textrm{A},V}a^{\dagger}_{\textrm{B},H}\right)\ket{0}+o(\alpha^{2}). (4)

Neglecting the higher-order term o(α2)o(\alpha^{2}), Eq. 4 is a PME state between two photonic modes. This allows local Pauli operations (XX, YY, and ZZ) and enables entanglement based communication protocols. More details about the weak-field entanglement verification method are discussed in Ref. [39].

The weak-field method to verify remote entanglement relies on the EP pulse’s likeness to the read-out field. We examine this by performing a Hong-Ou-Mandel (HOM) experiment between these two fields. By scanning the detuning of the EP pulse, we observe a HOM dip in the correlation function g(2)g^{(2)} shown in Fig. 3B, and get a minimum value of 0.716(19)0.716(19), close to the thermal-coherent interference limit of 2/32/3 (the EP pulse is a coherent state and the read-out field without conditioning by the write-out field is a thermal state). This will lead to a 10% underestimation of dd in measurements [39].

Next, we verify the remote entanglement generated between Alice and Bob using the weak-field method. In the first experiment, we verify the entanglement in a delayed-choice fashion [40]. The atomic states are retrieved 5 μ\upmus after the atom-photon entanglement is created, earlier than the entanglement is heralded. Fig. 3C and D summarize the reconstructed density matrices between the read-out fields and the corresponding 𝒞\mathcal{C}. 𝒞>0\mathcal{C}>0 for both |Ψpp+\ket{\Psi^{+}_{\textrm{pp}}} and |Ψpp\ket{\Psi^{-}_{\textrm{pp}}} witness the existence of remote entanglement. By deducting the loss during retrieval and detection, we infer the density matrices between two atomic ensembles and their corresponding concurrence 𝒞~\tilde{\mathcal{C}} to two atomic ensembles and show them in the same figures. Meanwhile, we find the fidelity =0.672(32)\mathcal{F}=0.672(32) for |ΨPME+\ket{\Psi_{\textrm{PME}}^{+}} and 0.666(31) for |ΨPME\ket{\Psi_{\textrm{PME}}^{-}} to corresponding maximally entangled state, both above 0.5 to certify the entanglement (Fig. 3E and H). In the second experiment, we create the remote entanglement in the same fashion but store it for 107μ107~{}\upmus, exceeding the round-trip transmission time between the quantum and the server nodes. We get a slightly lower concurrence result for each case, as summarized in Fig. 3F and G. However, the fidelities \mathcal{F} of |ΨPME±\ket{\Psi_{\textrm{PME}}^{\pm}} are on par with that of the former experiment (Fig. 3E and H). Comparing the variation of 𝒞\mathcal{C} and \mathcal{F} between two experiments, we confirm that a large portion of noise in the generated entangled states is the vacuum component and can be effectively filtered out using our weak-field method and other protocols [34]. The measured heralding probability is 6.9×1046.9\times 10^{-4} and 8.0×1048.0\times 10^{-4} for the first and second experiments, respectively, which corresponds to an entangling rate of 1.93 Hz and 0.83 Hz, considering the experiment repetition rate of 2.76 kHz and 1.03 kHz.

Concurrent entanglement generation in the network

Refer to caption
Figure 4: Concurrent entanglement generation in the network. (A, B) Measured correlation XX\braket{XX} of |Ψ+\ket{\Psi^{+}} and |Ψ\ket{\Psi^{-}}, respectively, on three links when changing the phase θ\theta at Charlie. Blue, orange, and green data points refer to the results of the Alice-Bob, Alice-Charlie, and Bob-Charlie links, respectively. Curves show the sinusoidal or the linear fit of data with corresponding colors. (C, D) Correlation measurement of |ΨPME+\ket{\Psi_{\textrm{PME}}^{+}} and |ΨPME\ket{\Psi_{\textrm{PME}}^{-}}, respectively, on three links. The color code remains the same as in (A) and (B). The error bars represent one standard deviation.
Table 1: Summary of the concurrence results in the concurrent entanglement generation experiment.
Alice-Bob Alice-Charlie Bob-Charlie
𝒞{\mathcal{C}} |Ψ+{\ket{\Psi^{+}}} 0.086(14) 0.074(14) 0.032(12)
|Ψ{\ket{\Psi^{-}}} 0.086(14) 0.063(13) 0.048(13)
𝒞~{\tilde{\mathcal{C}}} |Ψ+{\ket{\Psi^{+}}} 0.38(5) 0.35(5) 0.17(5)
|Ψ{\ket{\Psi^{-}}} 0.38(5) 0.30(5) 0.23(5)

Now we complete the network architecture by including the third quantum node, Charlie, and concurrently generate entanglement |Ψ±AB\ket{\Psi^{\pm}}_{\textrm{AB}}, |Ψ±BC\ket{\Psi^{\pm}}_{\text{BC}} and |Ψ±AC\ket{\Psi^{\pm}}_{\text{AC}} on three links, Alice-Bob, Bob-Charlie and Alice-Charlie, respectively. To this end, the server node is equipped with a multi-input-two-output optical switch and assigns two of the three users to the detection upon request. In our demonstration, we assign a 5.8 s time slot for each pair of users and dynamically switch user pairs according to a quantum random number generator (QRNG), simulating unknown requests in real-world applications. Since different links are frequently switched, a ‘hot swapping’ feature is crucial, i.e. the entangling conditions are meet immediately after switching. In our architecture, the phase stabilization is executed for every entanglement trial and is unaffected by switching. The good laser stability guarantees ignorable relative frequency drift although a 1/3 effective calibration time is assigned for each pair of nodes. Furthermore, we store the optimal EPC parameters for the polarization filtering to each specific fiber and load them during switching.

We first observe the local manipulation of non-local states. For instance, when applying a unitary operation locally at one of the quantum nodes (e.g., Charlie), its relevant non-local states (|Ψ±AC\ket{\Psi^{\pm}}_{\text{AC}} and |Ψ±BC\ket{\Psi^{\pm}}_{\text{BC}}) change in form while the entanglement is preserved. The irrelevant non-local states |Ψ±AB\ket{\Psi^{\pm}}_{\textrm{AB}} remain unchanged. In practice, we vary the phase θ\theta at Charlie and measure the XX\braket{XX} correlation of each pair of entanglement. As shown in Fig. 4A and B, we observe sinusoidal oscillations in the expected pairs |Ψ±BC\ket{\Psi^{\pm}}_{\text{BC}} and |Ψ±AC\ket{\Psi^{\pm}}_{\text{AC}}, while |Ψ±AB\ket{\Psi^{\pm}}_{\text{AB}} contributes a constant in this measurement. A π/2\pi/2 delay between the oscillations of |Ψ±BC\ket{\Psi^{\pm}}_{\text{BC}} and |Ψ±AC\ket{\Psi^{\pm}}_{\text{AC}} arises from the phase stabilization mechanism [39].

In the end, we characterize the generated remote entangled states on three links in the delayed-choice fashion. Tab. 1 summarizes the concurrence results 𝒞\mathcal{C} and 𝒞~\mathcal{\tilde{C}} and Fig. 4C, D show the correlation measurement results of the PME states. For all three links, we find 𝒞>0\mathcal{C}>0 to confirm the presence of atomic entanglement and >0.5\mathcal{F}>0.5 to witness the entanglement in corresponding PME state. The entangled states between Alice and Bob are comparable to that generated in the fixed connection case, indicating no extra decoherence being introduced in the switching process. The lower entanglement quality in other links arises from experimental imperfections [39]. The entangling rates of all three links are roughly 1/3 of that measured in the fixed connection case as expected. Some simple upgrades to the server node will immediately improve the networking performance, such as parallel (rather than concurrent) creation of multiple entanglement pairs with the help of wavelength division multiplexing technique [41] and genuine three-body entanglement creation using a modified interferometer [42, 21, 43].

Discussion and outlook

In this work, we present the debut implementation of a metropolitan area entanglement-based quantum network. With this facility, we have successfully demonstrated the heralded generation of remote entanglement between two quantum nodes separated by 12.5 km and store it longer than the two-way communication time. We also showed the concurrent generation of multiple entanglement pairs within the network. The high entangling rate in our network is enabled by a series of methods, two of which are crucial. Firstly, the remote phase stabilization guarantees the basis to implement the single photon scheme. In addition, it provides a flexible and scalable network infrastructure that can accommodate more quantum nodes within the metropolitan area. Secondly, the weak-field method simplifies the verification of remote Fock-basis entanglement. It removes the necessity to interfere two remote Fock-basis photons, instead only requires local linear optics operations and measurements. Moreover, using this method, one can effectively convert Fock-basis entanglement to polarization maximally entanglement, making entanglement-based communication within the reach. Adapting these methods to other physical platforms will accelerate their networking process.

Further advances of the network performance will happen in four main aspects, increasing the entangling rate by shifting the wavelength to telecom C band [27, 31] and by adapting multiplexed atomic quantum memories [44, 45, 46]; decreasing the entanglement infidelity by suppressing unwanted higher order atomic excitations with the help of Rydberg blockade mechanism [38, 47]; realizing a better entanglement verification by filtering out the vacuum components in the remote entangled state [34, 10] or by using nonlinear atomic state detection techniques [48, 49]; and prolonging the entanglement storage time to the second scale by further limiting atomic thermal motion with optical lattice technique [50, 51]. With these improvements, we expect remote entanglement can be generated much faster than it is lost, laying the basis for mediating serval metropolitan area quantum networks via quantum repeater protocols [7, 8].

Acknowledgment

We acknowledge QuantumCTek for the allocation of node Bob, and Hefei Institutes of Physical Science for the allocation of node Charlie. Funding: This research was supported by the Innovation Program for Quantum Science and Technology (No. 2021ZD0301104), National Key R&D Program of China (No. 2020YFA0309804), Anhui Initiative in Quantum Information Technologies, National Natural Science Foundation of China, and the Chinese Academy of Sciences. Competing interests: The authors declare no competing interests. Data and materials: The data are archived at Zenodo [52].

References

  • Kimble [2008] H. J. Kimble, Nature 453, 1023 (2008).
  • Wehner et al. [2018] S. Wehner, D. Elkouss, and R. Hanson, Science 362, eaam9288 (2018).
  • Gisin et al. [2002] N. Gisin, G. Ribordy, W. Tittel, and H. Zbinden, Reviews of Modern Physics 74, 145 (2002).
  • Jiang et al. [2007] L. Jiang, J. M. Taylor, A. S. Sørensen, and M. D. Lukin, Physical Review A 76, 062323 (2007).
  • Gottesman et al. [2012] D. Gottesman, T. Jennewein, and S. Croke, Physical Review Letters 109, 070503 (2012).
  • Kómár et al. [2014] P. Kómár, E. M. Kessler, M. Bishof, L. Jiang, A. S. Sørensen, J. Ye, and M. D. Lukin, Nature Physics 10, 582 (2014).
  • Briegel et al. [1998] H.-J. Briegel, W. Dür, J. I. Cirac, and P. Zoller, Physical Review Letters 81, 5932 (1998).
  • Sangouard et al. [2011] N. Sangouard, C. Simon, H. de Riedmatten, and N. Gisin, Reviews of Modern Physics 83, 33 (2011).
  • Chou et al. [2005] C. W. Chou, H. de Riedmatten, D. Felinto, S. V. Polyakov, S. J. van Enk, and H. J. Kimble, Nature 438, 828 (2005).
  • Chou et al. [2007] C.-W. Chou, J. Laurat, H. Deng, K. S. Choi, H. de Riedmatten, D. Felinto, and H. J. Kimble, Science 316, 1316 (2007).
  • Yuan et al. [2008] Z.-S. Yuan, Y.-A. Chen, B. Zhao, S. Chen, J. Schmiedmayer, and J.-W. Pan, Nature 454, 1098 (2008).
  • Hofmann et al. [2012] J. Hofmann, M. Krug, N. Ortegel, L. Gérard, M. Weber, W. Rosenfeld, and H. Weinfurter, Science 337, 72 (2012).
  • Bernien et al. [2013] H. Bernien, B. Hensen, W. Pfaff, G. Koolstra, M. S. Blok, L. Robledo, T. H. Taminiau, M. Markham, D. J. Twitchen, L. Childress, and R. Hanson, Nature 497, 86 (2013).
  • Hensen et al. [2015] B. Hensen, H. Bernien, A. E. Dréau, A. Reiserer, N. Kalb, M. S. Blok, J. Ruitenberg, R. F. L. Vermeulen, R. N. Schouten, C. Abellán, W. Amaya, V. Pruneri, M. W. Mitchell, M. Markham, D. J. Twitchen, D. Elkouss, S. Wehner, T. H. Taminiau, and R. Hanson, Nature 526, 682 (2015).
  • Humphreys et al. [2018] P. C. Humphreys, N. Kalb, J. P. J. Morits, R. N. Schouten, R. F. L. Vermeulen, D. J. Twitchen, M. Markham, and R. Hanson, Nature 558, 268 (2018).
  • Moehring et al. [2007] D. L. Moehring, P. Maunz, S. Olmschenk, K. C. Younge, D. N. Matsukevich, L.-M. Duan, and C. Monroe, Nature 449, 68 (2007).
  • Lago-Rivera et al. [2021] D. Lago-Rivera, S. Grandi, J. V. Rakonjac, A. Seri, and H. de Riedmatten, Nature 594, 37 (2021).
  • Liu et al. [2021] X. Liu, J. Hu, Z.-F. Li, X. Li, P.-Y. Li, P.-J. Liang, Z.-Q. Zhou, C.-F. Li, and G.-C. Guo, Nature 594, 41 (2021).
  • Delteil et al. [2016] A. Delteil, Z. Sun, W.-B. Gao, E. Togan, S. Faelt, and A. Imamoğlu, Nature Physics 12, 218 (2016).
  • Stockill et al. [2017] R. Stockill, M. J. Stanley, L. Huthmacher, E. Clarke, M. Hugues, A. J. Miller, C. Matthiesen, C. Le Gall, and M. Atatüre, Physical Review Letters 119, 010503 (2017).
  • Jing et al. [2019] B. Jing, X.-J. Wang, Y. Yu, P.-F. Sun, Y. Jiang, S.-J. Yang, W.-H. Jiang, X.-Y. Luo, J. Zhang, X. Jiang, X.-H. Bao, and J.-W. Pan, Nature Photonics 13, 210 (2019).
  • Pompili et al. [2021] M. Pompili, S. L. N. Hermans, S. Baier, H. K. C. Beukers, P. C. Humphreys, R. N. Schouten, R. F. L. Vermeulen, M. J. Tiggelman, L. d. S. Martins, B. Dirkse, S. Wehner, and R. Hanson, Science 372, 259 (2021).
  • Hermans et al. [2022] S. L. N. Hermans, M. Pompili, H. K. C. Beukers, S. Baier, J. Borregaard, and R. Hanson, Nature 605, 663 (2022).
  • Kumar [1990] P. Kumar, Optics Letters 15, 1476 (1990).
  • De Greve et al. [2012] K. De Greve, L. Yu, P. L. McMahon, J. S. Pelc, C. M. Natarajan, N. Y. Kim, E. Abe, S. Maier, C. Schneider, M. Kamp, S. Höfling, R. H. Hadfield, A. Forchel, M. M. Fejer, and Y. Yamamoto, Nature 491, 421 (2012).
  • Bock et al. [2018] M. Bock, P. Eich, S. Kucera, M. Kreis, A. Lenhard, C. Becher, and J. Eschner, Nature Communications 9, 1998 (2018).
  • van Leent et al. [2020] T. van Leent, M. Bock, R. Garthoff, K. Redeker, W. Zhang, T. Bauer, W. Rosenfeld, C. Becher, and H. Weinfurter, Physical Review Letters 124, 010510 (2020).
  • Tchebotareva et al. [2019] A. Tchebotareva, S. L. N. Hermans, P. C. Humphreys, D. Voigt, P. J. Harmsma, L. K. Cheng, A. L. Verlaan, N. Dijkhuizen, W. de Jong, A. Dréau, and R. Hanson, Physical Review Letters 123, 063601 (2019).
  • Krutyanskiy et al. [2019] V. Krutyanskiy, M. Meraner, J. Schupp, V. Krcmarsky, H. Hainzer, and B. P. Lanyon, npj Quantum Information 5, 72 (2019).
  • Luo et al. [2022] X.-Y. Luo, Y. Yu, J.-L. Liu, M.-Y. Zheng, C.-Y. Wang, B. Wang, J. Li, X. Jiang, X.-P. Xie, Q. Zhang, X.-H. Bao, and J.-W. Pan, Physical Review Letters 129, 050503 (2022).
  • van Leent et al. [2022] T. van Leent, M. Bock, F. Fertig, R. Garthoff, S. Eppelt, Y. Zhou, P. Malik, M. Seubert, T. Bauer, W. Rosenfeld, W. Zhang, C. Becher, and H. Weinfurter, Nature 607, 1 (2022).
  • Yu et al. [2020] Y. Yu, F. Ma, X.-Y. Luo, B. Jing, P.-F. Sun, R.-Z. Fang, C.-W. Yang, H. Liu, M.-Y. Zheng, X.-P. Xie, W.-J. Zhang, L.-X. You, Z. Wang, T.-Y. Chen, Q. Zhang, X.-H. Bao, and J.-W. Pan, Nature 578, 240 (2020).
  • Bao et al. [2012] X.-H. Bao, A. Reingruber, P. Dietrich, J. Rui, A. Dück, T. Strassel, L. Li, N.-L. Liu, B. Zhao, and J.-W. Pan, Nature Physics 8, 517 (2012).
  • Duan et al. [2001] L.-M. Duan, M. D. Lukin, J. I. Cirac, and P. Zoller, Nature 414, 413 (2001).
  • Pang et al. [2020] X.-L. Pang, A.-L. Yang, C.-N. Zhang, J.-P. Dou, H. Li, J. Gao, and X.-M. Jin, Physical Review Applied 13, 034008 (2020).
  • Zhou et al. [2023] L. Zhou, J. Lin, Y. Jing, and Z. Yuan, Nature Communications 14, 928 (2023).
  • Tan et al. [1991] S. M. Tan, D. F. Walls, and M. J. Collett, Physical Review Letters 66, 252 (1991).
  • Li et al. [2013] L. Li, Y. O. Dudin, and A. Kuzmich, Nature 498, 466 (2013).
  • [39] Materials and methods are available as supplementary materials.
  • Ma et al. [2012] X.-S. Ma, S. Zotter, J. Kofler, R. Ursin, T. Jennewein, Č. Brukner, and A. Zeilinger, Nature Physics 8, 479 (2012).
  • Wengerowsky et al. [2018] S. Wengerowsky, S. K. Joshi, F. Steinlechner, H. Hübel, and R. Ursin, Nature 564, 225 (2018).
  • Choi et al. [2010] K. S. Choi, A. Goban, S. B. Papp, S. J. van Enk, and H. J. Kimble, Nature 468, 412 (2010).
  • Dür et al. [2000] W. Dür, G. Vidal, and J. I. Cirac, Physical Review A 62, 062314 (2000).
  • Collins et al. [2007] O. A. Collins, S. D. Jenkins, A. Kuzmich, and T. A. B. Kennedy, Physical Review Letters 98, 060502 (2007).
  • Pu et al. [2017] Y.-F. Pu, N. Jiang, W. Chang, H.-X. Yang, C. Li, and L.-M. Duan, Nature Communications 8, 15359 (2017).
  • Parniak et al. [2017] M. Parniak, M. Dąbrowski, M. Mazelanik, A. Leszczyński, M. Lipka, and W. Wasilewski, Nature Communications 8, 2140 (2017).
  • Sun et al. [2022] P.-F. Sun, Y. Yu, Z.-Y. An, J. Li, C.-W. Yang, X.-H. Bao, and J.-W. Pan, Physical Review Letters 128, 060502 (2022).
  • Xu et al. [2021] W. Xu, A. V. Venkatramani, S. H. Cantú, T. Šumarac, V. Klüsener, M. D. Lukin, and V. Vuletić, Physical Review Letters 127, 050501 (2021).
  • Yang et al. [2022] C.-W. Yang, C.-W. Yang, C.-W. Yang, J. Li, J. Li, J. Li, M.-T. Zhou, M.-T. Zhou, M.-T. Zhou, X. Jiang, X. Jiang, X. Jiang, X.-H. Bao, X.-H. Bao, X.-H. Bao, X.-H. Bao, J.-W. Pan, J.-W. Pan, J.-W. Pan, and J.-W. Pan, Optica 9, 853 (2022).
  • Yang et al. [2016] S.-J. Yang, X.-J. Wang, X.-H. Bao, and J.-W. Pan, Nature Photonics 10, 381 (2016).
  • Wang et al. [2021] X.-J. Wang, S.-J. Yang, P.-F. Sun, B. Jing, J. Li, M.-T. Zhou, X.-H. Bao, and J.-W. Pan, Physical Review Letters 126, 090501 (2021).
  • [52] J.-L. Liu, X.-Y. Luo, Y. Yu, C.-Y. Wang, B. Wang, Y. Hu, J. Li, M.-Y. Zheng, B. Yao, Z. Yan, D. Teng, J.-W. Jiang, X.-B. Liu, X.-P. Xie, J. Zhang, Q.-H. Mao, X. Jiang, Q. Zhang, X.-H. Bao, and J.-W. Pan, Data for "A multinode quantum network over a metropolitan area", zenodo (2023); https://doi.org/10.5281/zenodo.8149009.

SUPPLEMENTAL MATERIAL

I Details of the experimental setup

I.1 General details

We cool down and trap the atomic ensemble using a magneto-optical trap (MOT). We run the MOT at a repetition rate of 34.5\sim 34.5 Hz. In each MOT cycle, we cool down the atoms in the first 25 ms/24 ms (for a storage time of 5 μ\upmus/107 μ\upmus), pump the atoms to the specific Zeeman ground state in the next 1 ms, and perform the entanglement measurement using the rest time. Each entanglement trial takes 33 μ\upmus in the delayed-choice measurements and 131 μ\upmus when storing the qubit longer than the round-trip communication time, leading to an average experimental repetition rate of 2.76 kHz and 1.03 kHz.

Fig. S1 depicts the energy level scheme of three main steps at each quantum node, i.e., the write, read process of the DLCZ quantum memory and the spin-wave freezing technique using the Raman operations. More details of the energy level and the spin-wave freezing technique are discussed in Ref. [1].

Refer to caption
Figure S1: Energy level scheme of main steps at each memory node.

I.2 Experimental control and synchronization

Fig. S2 depicts the schematic of our experimental control system. In each network node, a field programmable gate array (FPGA) takes charge of time sequence generation and data acquisition. The acquiesced data are instantaneously uploaded to a computer for storage. The FPGA in the server node disseminates its clock signal and experimental triggers to the quantum nodes via optical fibers for experiment synchronization. In the server node, we store the random number taken from the quantum random number generator [2] for data synchronization. More details of the system control and synchronization can be found in our previous paper [1].

Refer to caption
Figure S2: Experimental control and synchronization.

II The phase of entanglement states

Here we give a complete description of the phase involved in the remote entanglement generation and verification. Fig. S3 depicts a detailed schematic of a quantum node. The notations used in the following derivation and their corresponding description are listed in Tab. S1.

Table S1: A summary of notations and their descriptions in the phase evolution derivation. For the phase notations, we use the superscript A, B, and C for referring to the node Alice, Bob, and Charlie, respectively.
Notations Description
tw/trt_{w}/t_{r} The time for the write-in or read-out operation, respectively.
φw(t)\varphi_{w}(t) The initial phase of the Write laser at time tt.
φp(t)\varphi_{p}(t) The initial phase of the Pump laser at time tt.
φr(t)\varphi_{r}(t) The initial phase of the Read laser at time tt.
ϕw\phi_{w} The optical path phase of the Write pulse.
ϕr\phi_{r} The optical path phase of the Read pulse.
ϕr,in\phi_{r,in} The part of ϕr\phi_{r} accumulated in the local interferometer.
ϕr,out\phi_{r,out} The part of ϕr\phi_{r} accumulated outside the local interferometer.
ϕwo\phi_{wo} The optical path phase of the write-out photon.
ϕwo,in\phi_{wo,in} The part of ϕwo\phi_{wo} accumulated in the local interferometer.
ϕwo,out\phi_{wo,out} The part of ϕwo\phi_{wo} accumulated outside the local interferometer.
ϕro\phi_{ro} The optical path phase of the read-out photon.
ϕEP\phi_{\textrm{EP}} The optical path phase of the EP pulse.
ϕa\phi_{a} The phase accumulated during atomic storage.
ϕwr\phi_{wr} The total phase of the write-out-read-out photon pair.
ϕEOM\phi_{\textrm{EOM}} The feedback phase of the EOM at the server node.
ϕlo\phi_{lo} The local phase related to a single node.
ϕrm\phi_{rm} The remote phase related to two nodes.
ϕPME\phi_{\textrm{PME}} The phase of the PME state.

We start from the local atom-photon entanglement pair generation. The interference and the detection of the write-out photons herald the entanglement of two atomic ensembles. Then the atomic excitations are retried as photons for entanglement verification. The retrieval and write-out photon detection processes are communitive, so we consider a delayed-choice experiment where the atomic state is retrieved immediately after its creation. In this case, the local entanglement between the write-out and the read-out photon mode reads

|00+χeiϕwr|1ro|1wo,\ket{00}+\sqrt{\chi}e^{i\phi_{wr}}\ket{1}_{ro}\ket{1}_{wo}, (S1)

where

ϕwr=φw(tw)+φp(tw)+φr(tr)+ϕa+ϕw+ϕwo+ϕr+ϕro.\phi_{wr}=\varphi_{w}(t_{w})+\varphi_{p}(t_{w})+\varphi_{r}(t_{r})+\phi_{a}+\phi_{w}+\phi_{wo}+\phi_{r}+\phi_{ro}. (S2)

φf=ϕw+ϕwo\varphi_{f}=\phi_{w}+\phi_{wo} correspond to the phase of the fiber channel in the main text. With a click event of an SNSPD, the remote entangled state reads

|ψro±=(eiϕwrA+iϕEOM|10AB±eiϕwrB|01AB)/2.\ket{\psi_{ro}^{\pm}}=\left(e^{i\phi_{wr}^{\textrm{A}}+i\phi_{\textrm{EOM}}}\ket{10}_{\textrm{AB}}\pm e^{i\phi_{wr}^{\textrm{B}}}\ket{01}_{\textrm{AB}}\right)/\sqrt{2}. (S3)

Apart from the phase of photon pairs ϕwrA/B\phi_{wr}^{\textrm{A/B}}, the phase ϕEOM\phi_{\textrm{EOM}} is involved because the phase feedback is applied before the remote entanglement generation.

During the entanglement verification, we combine an EP pulse with the read-out photons at each node. We generate the EP pulse from the Write laser (because of its frequency likeliness with the read-out photon). Hence the EP pulse inherits the initial phase of the Write laser. In the limit of weak power, we can write the joint state of two EP pulses in two nodes as follows,

|00AB+αeiφwA(tr)+iϕEPA|10AB+αeiφwB(tr)+iϕEPB|01AB.\ket{00}_{\textrm{AB}}+\alpha e^{i\varphi_{w}^{\textrm{A}}(t_{r})+i\phi_{\textrm{EP}}^{\textrm{A}}}\ket{10}_{\textrm{AB}}+\alpha e^{i\varphi_{w}^{\textrm{B}}(t_{r})+i\phi_{\textrm{EP}}^{B}}\ket{01}_{\textrm{AB}}. (S4)

We encode the read-out photon modes in Eq. S3 in the horizontal polarization (|H\ket{H}), the EP pulse mode in Eq. S4 in the vertical polarization mode (|V\ket{V}) and combine them using PBSs (shown in the Fig. 3A of the main text). By selecting one photon at each node, we obtain a polarization maximally entangled (PME) state

|ψPME±=(ei[ϕwrA+iϕEOM+φwB(tr)+ϕEPB]|HVAB±ei[ϕwrB+φwA(tr)+ϕEPA]|VHAB)/2.\ket{\psi_{\textrm{PME}}^{\pm}}=\left(e^{i[\phi_{wr}^{\textrm{A}}+i\phi_{\textrm{EOM}}+\varphi_{w}^{\textrm{B}}(t_{r})+\phi_{\textrm{EP}}^{\textrm{B}}]}\ket{HV}_{\textrm{AB}}\pm e^{i[\phi_{wr}^{\textrm{B}}+\varphi_{w}^{\textrm{A}}(t_{r})+\phi_{\textrm{EP}}^{\textrm{A}}]}\ket{VH}_{\textrm{AB}}\right)/\sqrt{2}. (S5)

We define ϕPME\phi_{\textrm{PME}} as the phase of the PME state,

ϕPME=[ϕEOM+ϕwrAφwA(tr)ϕEPA][ϕwrBφwB(tr)ϕEPB]=ϕloAϕloB+ϕrm,\begin{split}\phi_{\textrm{PME}}=&[\phi_{\textrm{EOM}}+\phi_{wr}^{\textrm{A}}-\varphi_{w}^{\textrm{A}}(t_{r})-\phi_{\textrm{EP}}^{\textrm{A}}]-[\phi_{wr}^{\textrm{B}}-\varphi^{\textrm{B}}_{w}(t_{r})-\phi_{\textrm{EP}}^{\textrm{B}}]\\ =&\phi_{lo}^{\textrm{A}}-\phi_{lo}^{\textrm{B}}+\phi_{rm},\end{split} (S6)

where we divide the total phase into the local phase at nodes A and B (ϕloA/B\phi^{\textrm{A/B}}_{lo}) and the remote phase between two nodes (ϕrm\phi_{rm}). They are given by:

ϕloA/B=ϕaA/B+[ϕwA/B+ϕwo,inA/B+ϕr,inA/B+ϕroA/BϕEPA/B]+[φwA/B(tw)+φrA/B(tr)φwA/B(tr)φrA/B(tw)],\begin{split}\phi_{lo}^{\textrm{A/B}}=&\phi_{a}^{\textrm{A/B}}+\left[\phi_{w}^{\textrm{A/B}}+\phi_{wo,in}^{\textrm{A/B}}+\phi_{r,in}^{\textrm{A/B}}+\phi_{ro}^{\textrm{A/B}}-\phi_{EP}^{\textrm{A/B}}\right]\\ &+\left[\varphi_{w}^{\textrm{A/B}}(t_{w})+\varphi_{r}^{\textrm{A/B}}(t_{r})-\varphi_{w}^{\textrm{A/B}}(t_{r})-\varphi_{r}^{\textrm{A/B}}(t_{w})\right],\end{split} (S7)
ϕrm=ϕEOM+[ϕwo,outA+ϕr,outA+φrA(tw)+φpA(tw)][ϕwo,outB+ϕr,outB+φrB(tw)+φpB(tw)].\phi_{rm}=\phi_{\textrm{EOM}}+[\phi_{wo,out}^{A}+\phi_{r,out}^{A}+\varphi_{r}^{A}(t_{w})+\varphi_{p}^{\textrm{A}}(t_{w})]-[\phi_{wo,out}^{B}+\phi_{r,out}^{B}+\varphi_{r}^{B}(t_{w})+\varphi_{p}^{\textrm{B}}(t_{w})]. (S8)

In the expression of ϕloA/B\phi^{\textrm{A/B}}_{lo} (Eq. S7), the first term ϕaA/B\phi_{a}^{\textrm{A/B}} stands for the phase during the storage in the atomic ensembles. The first bracket represents the phase difference of some optical paths, constituting an interferometer highlighted in Fig. S3. The second bracket indicates the phase inherited from the lasers at different times.

Refer to caption
Figure S3: Detailed schematic of a quantum node. Two arms of a local interferometer are highlighted. PBS: polarizing beam splitter. BS: beam splitter. HWP: half-wave plate. QWP: quarter-wave plate. Pockels: Pockels cell. AOM: acoustic-optic modulator.

To keep ϕaA/B\phi_{a}^{\textrm{A/B}} stable in the 100 μ\upmus time scale, we reduce the Zeeman energy level fluctuation of atoms by securing a constant magnetic environment (see Ref. [1]) and transferring the spin wave to clock transition to reduce the sensitivity to the magnetic field. The stable laser phase is guaranteed by locking lasers to a stable and narrow linewidth reference cavity. To stabilize the local interferometer, we inject a locking beam during the MOT loading phase and apply the feedback onto a mirror glued with a piezo-electric transducer. The acousto-optic modulators (AOMs) on the optical paths function as frequency shifters. One shifts the PP pulse to the write-out photon’s frequency during the phase probing phase, and the other shifts the EP pulse to the read-out photon’s frequency during the entanglement verification phase.

We lock the remote phase ϕrm\phi_{rm} with the weak-field remote phase stabilization methods. For practical reasons, we add an addition π/2\pi/2 in the feedback (i.e. ϕrm=π/2\phi_{rm}=\pi/2), which implies,

{ϕPMEA-B=ϕloAϕloB+π2ϕPMEA-C=ϕloAϕloC+π2ϕPMEC-B=ϕloCϕloB+π2.\begin{cases}\phi_{\textrm{PME}}^{\textrm{A-B}}&=\phi_{lo}^{\textrm{A}}-\phi_{lo}^{\textrm{B}}+\frac{\pi}{2}\\ \phi_{\textrm{PME}}^{\textrm{A-C}}&=\phi_{lo}^{\textrm{A}}-\phi_{lo}^{\textrm{C}}+\frac{\pi}{2}\\ \phi_{\textrm{PME}}^{\textrm{C-B}}&=\phi_{lo}^{\textrm{C}}-\phi_{lo}^{\textrm{B}}+\frac{\pi}{2}\end{cases}. (S9)

By adding three equations in Eq. S9, we get:

ϕPMEA-C+ϕPMEC-BϕPMEA-B=π2,\phi_{\textrm{PME}}^{\textrm{A-C}}+\phi_{\textrm{PME}}^{\textrm{C-B}}-\phi_{\textrm{PME}}^{\textrm{A-B}}=\frac{\pi}{2}, (S10)

which explains the π/2\pi/2 phase delay between |Ψ±BC\ket{\Psi^{\pm}}_{\textrm{BC}} and |Ψ±AC\ket{\Psi^{\pm}}_{\textrm{AC}} in Fig. 4A and 4B in the main text.

III The model of entanglement verification

Using the EP pulses, we can transfer the Fock state entanglement to PME states, which makes entanglement verification much simpler. Thus, we can use entanglement fidelity to quantify the quality of entanglement. Here, we give the form of entanglement fidelity and show the limitation under our experimental imperfections.

III.1 The model of the state and the measurement

The click of an SNSPD heralds the entanglement of two atomic ensembles. We consider the atomic state being retrieved as read-out photons. The density matrix of the joint read-out state under the Fock basis {|00,|01,|10,|11}\{\ket{00},\ket{01},\ket{10},\ket{11}\} reads [3]

ρret=(p000000p01deiϕ00deiϕp100000p11),\rho_{ret}=\left(\begin{matrix}p_{00}&0&0&0\\ 0&p_{01}&de^{i\phi}&0\\ 0&de^{-i\phi}&p_{10}&0\\ 0&0&0&p_{11}\\ \end{matrix}\right), (S11)

where pijp_{ij} represents ii photons at Alice and ii photons at Bob, and dd represents the coherence term. To certify the remote entanglement, we generate an EP pulse at each quantum node, which is essentially a weak coherent pulse resembling the read-out mode in all degree-of-freedoms. The density matrix of the joint EP state is

ρEP=|αeiθAαeiθA||αeiθBαeiθB|,\rho_{\textrm{EP}}=\ket{\alpha e^{i\theta_{A}}}\bra{\alpha e^{i\theta_{A}}}\otimes\ket{\alpha e^{i\theta_{B}}}\bra{\alpha e^{i\theta_{B}}}, (S12)

where θA\theta_{A} (θB\theta_{B}) represents the phase of the EP pulses at Alice (Bob). We encode the read-out photon onto the horizontal polarization, the EP pulse onto the vertical polarization and mix them using a PBS at each node. The state after mixing reads

ρEP,Vρret,H.\rho_{\textrm{EP},V}\otimes\rho_{ret,H}. (S13)

After mixing, we perform the polarization projection measurement. We register the events where only one detector clicks at each node. When measuring at the |H/|V\ket{H}/\ket{V} basis, the four associated observables reads

{W^H,H=|00|A,V(I|00|)A,H(I|00|)B,H|00|B,VW^V,H=(I|00|)A,V|00|A,H(I|00|)B,H|00|B,VW^H,V=|00|A,V(I|00|)A,H|00|B,H(I|00|)B,VW^V,V=(I|00|)A,V|00|A,H|00|B,H(I|00|)B,V,\begin{cases}\hat{W}_{H,H}=\ket{0}\bra{0}_{A,V}\otimes(I-\ket{0}\bra{0})_{A,H}\otimes(I-\ket{0}\bra{0})_{B,H}\otimes\ket{0}\bra{0}_{B,V}\\ \hat{W}_{V,H}=(I-\ket{0}\bra{0})_{A,V}\otimes\ket{0}\bra{0}_{A,H}\otimes(I-\ket{0}\bra{0})_{B,H}\otimes\ket{0}\bra{0}_{B,V}\\ \hat{W}_{H,V}=\ket{0}\bra{0}_{A,V}\otimes(I-\ket{0}\bra{0})_{A,H}\otimes\ket{0}\bra{0}_{B,H}\otimes(I-\ket{0}\bra{0})_{B,V}\\ \hat{W}_{V,V}=(I-\ket{0}\bra{0})_{A,V}\otimes\ket{0}\bra{0}_{A,H}\otimes\ket{0}\bra{0}_{B,H}\otimes(I-\ket{0}\bra{0})_{B,V}\\ \end{cases}, (S14)

where W^m,n\hat{W}_{m,n} represents the detection of a photon with mm polarization at node A and a photon with nn polarization at node B with (m,nm,n takes HH or VV).

III.2 PME states and their fidelity estimation

We define the state in Eq. S13 when choosing one photon at each node as a polarization maximally entangled (PME) state. The correlator ZZZZ of the PME state can be calculated as

ZZ=Tr(ρ(W^V,V+W^H,HW^V,HW^H,V))Tr(ρ(W^V,V+W^H,H+W^V,H+W^H,V))=(p01+p10)(1en)enp00(1en)2p11e2n(p01+p10)(1en)en+p00(1en)2+p11e2n.\begin{split}\braket{ZZ}=&\frac{Tr(\rho(\hat{W}_{V,V}+\hat{W}_{H,H}-\hat{W}_{V,H}-\hat{W}_{H,V}))}{Tr(\rho(\hat{W}_{V,V}+\hat{W}_{H,H}+\hat{W}_{V,H}+\hat{W}_{H,V}))}\\ =&-\frac{(p_{01}+p_{10})(1-e^{-n})e^{-n}-p_{00}(1-e^{-n})^{2}-p_{11}e^{-2n}}{(p_{01}+p_{10})(1-e^{-n})e^{-n}+p_{00}(1-e^{-n})^{2}+p_{11}e^{-2n}}.\end{split} (S15)

Similarly, the correlator XXXX can be calculated as,

XX=Tr(ρ(W^A,A+W^D,DW^A,DW^D,A))Tr(ρ(W^A,A+W^D,D+W^A,D+W^D,A))=2dncos(ϕ+θAθB)4p00(1en/2)2+2(p01+p10)(1+n2)(1en/2)+p11(1+n2)2.\begin{split}\braket{XX}=&\frac{Tr(\rho(\hat{W}_{A,A}+\hat{W}_{D,D}-\hat{W}_{A,D}-\hat{W}_{D,A}))}{Tr(\rho(\hat{W}_{A,A}+\hat{W}_{D,D}+\hat{W}_{A,D}+\hat{W}_{D,A}))}\\ =&\frac{2dn\cos(\phi+\theta_{A}-\theta_{B})}{4p_{00}(1-e^{-n/2})^{2}+2(p_{01}+p_{10})(1+\frac{n}{2})(1-e^{-n/2})+p_{11}(1+\frac{n}{2})^{2}}.\end{split} (S16)

The observables W^A/D,D/A\hat{W}_{A/D,D/A} represent the detection of a photon with |A/D\ket{A/D} polarization at node A and a photon with |D/A\ket{D/A} polarization at node B. We get them using the basis transformation

W^A/D,D/A=M^(a^A,H,a^A,V)M^(a^B,H,a^B,V)W^H/V,V/HM^(a^A,H,a^A,V)M^(a^B,H,a^B,V),\hat{W}_{A/D,D/A}=\hat{M}^{\dagger}(\hat{a}_{A,H},\hat{a}_{A,V})\hat{M}^{\dagger}(\hat{a}_{B,H},\hat{a}_{B,V})\hat{W}_{H/V,V/H}\hat{M}(\hat{a}_{A,H},\hat{a}_{A,V})\hat{M}(\hat{a}_{B,H},\hat{a}_{B,V}), (S17)

where M^(a^H,a^V)=eπ/4(a^Ha^Va^Va^H)\hat{M}(\hat{a}_{H},\hat{a}_{V})=e^{\pi/4(\hat{a}_{H}^{\dagger}\hat{a}_{V}-\hat{a}_{V}^{\dagger}\hat{a}_{H})} is the mode mixing operator. The correlator YYYY has the same form as XXXX, so we omit it here.

By fixing the phase of the EP pulses, we target the PME states to two Bell state |Ψ±\ket{\Psi^{\pm}}, with the sign ±\pm depending on the phase of the initial atomic entanglement. We can estimate the fidelity of the PME states to their target Bell state as

(|Ψ±)=±XX±YYZZ+14.\mathcal{F}(\ket{\Psi^{\pm}})=\frac{\pm\langle XX\rangle\pm\langle YY\rangle-\langle ZZ\rangle+1}{4}. (S18)

Substituting the expressions of the correlators we learn that the fidelity is a function of the EP state intensity nn. In our experiments, we set np11/p003%1n\approx\sqrt{p_{11}/p_{00}}\approx 3\%\ll 1 to maximize the fidelity. After ignoring the higher-order terms, o(n)o(n), the fidelity is given by:

(|Ψ±)1+V2(1+β),\mathcal{F}(\ket{\Psi^{\pm}})\approx\frac{1+V}{2(1+\beta)}, (S19)

where V=2d/(p01+p10)V=2d/(p_{01}+p_{10}) and β=2p00p11/(p01+p10)\beta=2\sqrt{p_{00}p_{11}}/(p_{01}+p_{10}). The former describes the coherence between p01p_{01} and p10p_{10}, which can also be understood as the interference visibility when we combine two read-out modes with a beamsplitter, and the latter describes the contribution of high order excitations.

To have more insight of the PME fidelity, we associate the fidelity expression with the atomic state. We define dijd_{ij} as ii atomic excitations at node A and jj at node B upon an SNSPD heralding the remote entanglement between two atomic ensembles. We can associate dijd_{ij} and pijp_{ij} using the retrieval efficiency ηr\eta_{r},

{p00d00+(p10+p01)(1ηr)p10d10ηrp01d01ηrp11d11ηr2,\begin{cases}p_{00}\approx d_{00}+(p_{10}+p_{01})(1-\eta_{r})\\ p_{10}\approx d_{10}\eta_{r}\\ p_{01}\approx d_{01}\eta_{r}\\ p_{11}\approx d_{11}\eta_{r}^{2}\\ \end{cases}, (S20)

where we neglected the small contribution from d11d_{11} on p00,p01,p10p_{00},\ p_{01},\ p_{10}. The non-zero part of d00d_{00} comes from the incorrect heralding of the SNSPD, such as a dark count. d11d_{11} is given by the higher-order atomic excitations. We estimate them as follows,

{d00(d10+d01)/SNRd11(d10+d01)χ,\begin{cases}d_{00}\approx(d_{10}+d_{01})/\textrm{SNR}\\ d_{11}\approx(d_{10}+d_{01})\chi\\ \end{cases}, (S21)

where SNR is the signal-to-noise ratio of write-out photon, and χ\chi is the internal excitation probability. Then we can get:

β2(1/SNR+1ηr)χ.\beta\approx 2\sqrt{(1/\textrm{SNR}+1-\eta_{r})\chi}. (S22)

Substituting it into Eq. S19, we obtain:

(|Ψ±)1+V2(1+2(1/SNR+1ηr)χ).\mathcal{F}(\ket{\Psi^{\pm}})\approx\frac{1+V}{2(1+2\sqrt{(1/\textrm{SNR}+1-\eta_{r})\chi})}. (S23)

From the above equation, retrieval efficiency does not significantly affect fidelity, while internal excitation probability and SNR play a significant role.

III.3 Concurrence

Concurrence 𝒞=max{0,2(dp00p11)}>0\mathcal{C}=max\{0,2(d-\sqrt{p_{00}p_{11}})\}>0 is a widely used entanglement criterion for Fock state entanglement. Due to its monotonicity under local operation and classical communication (LOCC), 𝒞>0\mathcal{C}>0 for the read-out photons verifies the entanglement of the atomic ensembles at two nodes. The key to estimating the entanglement is the coherence term dd measurement, which is usually done by interfering with the read-out photons and measuring the visibility [3, 4, 5]. Here, we show that we can give a lower bound on dd according to the visibility in the X/YX/Y basis, and thus we can give a lower bound on the concurrence.

From Eq. S16, we can get:

|XX|=|YY|<2dn4p00n24(1+n/2)2+(p01+p10)n+p11(1+n2)2V1+β=2dp01+p10+2p11p00.|\langle XX\rangle|=|\langle YY\rangle|<\frac{2dn}{4p_{00}\frac{n^{2}}{4(1+n/2)^{2}}+(p_{01}+p_{10})n+p_{11}(1+\frac{n}{2})^{2}}\leq\frac{V}{1+\beta}=\frac{2d}{p_{01}+p_{10}+2\sqrt{p_{11}p_{00}}}. (S24)

Then, we can get:

2d>EX/Y(p01+p10+2p00p11),2d>E_{X/Y}(p_{01}+p_{10}+2\sqrt{p_{00}p_{11}}), (S25)

where EX/YE_{X/Y} is the absolute value of the correlator XX/YY. Then, the concurrence is given by:

𝒞>𝒞l=max{0,EX/Y(p01+p10+2p00p11)2p00p11}.\mathcal{C}>\mathcal{C}_{l}=max\{0,E_{X/Y}(p_{01}+p_{10}+2\sqrt{p_{00}p_{11}})-2\sqrt{p_{00}p_{11}}\}. (S26)

According to the data measured in ZZ basis, we can get the photon statistics pijp_{ij} of the read-out photons. Furthermore, with EX/YE_{X/Y} (we use the mean value of EXE_{X} and EYE_{Y} to calculate dd) we can give a lower bound on the concurrence 𝒞\mathcal{C}.

III.4 Photon transmission losses and non-unit detection efficiency

The above calculations are based on unit detection efficiency, and the losses during the photon transmission are not considered. This section will show that these two factors do not affect the above conclusion.The non-unit transmission efficiency η\eta of a mode a^\hat{a} can be modeled by a BS with transmission of η=cos(κ)2\eta=\cos(\kappa)^{2}, whose operator is:

L^(a^)=eκ(a^l^al^aa^),\hat{L}(\hat{a})=e^{\kappa(\hat{a}^{\dagger}\hat{l}_{a}-\hat{l}_{a}^{\dagger}\hat{a})}, (S27)

where a^\hat{a} is the mode we care about, and l^a\hat{l}_{a} is an auxiliary mode that models the losses of photons in a^\hat{a} mode. This loss operator, on the one hand, describes the losses due to all kinds of optical devices; on the other hand, it describes the non-unit detection efficiency. The partial density matrix of the total density matrix S12 at one node is a mixture of general two-mode quantum state, which is given by:

|ψ=i,jci,j|i|j,\ket{\psi}=\sum_{i,j}c_{i,j}\ket{i}\ket{j}, (S28)

where |i\ket{i} is the Fock state basis. The general two-mode quantum state can be also transferred to the coherent state basis with the completeness relation:

I=1π|αα|d2α.I=\frac{1}{\pi}\int\ket{\alpha}\bra{\alpha}d^{2}\alpha. (S29)

Then, it can be written in the form:

|ψ=c(α,β)|α|βd2αd2β.\ket{\psi}=\iint c(\alpha,\beta)\ket{\alpha}\ket{\beta}d^{2}\alpha d^{2}\beta. (S30)

In coherent state basis, it’s easy to check the following equation:

M^(l^a,l^b)L^(a^)L^(b^)M^(a^,b^)|ψ=M^(a^,b^)L^(a^)L^(b^)|ψ,\hat{M}^{\dagger}(\hat{l}_{a},\hat{l}_{b})\hat{L}(\hat{a})\hat{L}(\hat{b})\hat{M}(\hat{a},\hat{b})\ket{\psi}=\hat{M}(\hat{a},\hat{b})\hat{L}(\hat{a})\hat{L}(\hat{b})\ket{\psi}, (S31)

which means that after tracing all the auxiliary modes l^a,l^b\hat{l}_{a},\ \hat{l}_{b}, we can exchange the position of the loss operator L^(a^)\hat{L}(\hat{a}) and the mode mixing operator M^(a^,b^)\hat{M}(\hat{a},\hat{b}). So, in the X/YX/Y basis the non-unit detection efficiency is equivalent to the losses before the mode mixing operation. This equivalence in the ZZ basis is trivial.

Now, we can concentrate on the losses of EP pulses and the read-out photons. For the former one, we can get:

Trl^a[L^(a^)|α]=|ηα,Tr_{\hat{l}_{a}}[\hat{L}(\hat{a})\ket{\alpha}]=\ket{\sqrt{\eta}\alpha}, (S32)

which shows that losses only change the amplitude of the EP pulses. For the latter, the losses can be regarded as a decrease in the retrieval efficiency, which does not change the form of the density matrix S11. Thus, by adjusting the amplitude of the EP pulses and redefining the density matrix of the read-out photons(including all the losses and the limited detection efficiency), the conclusion derived in the ideal cases still works in the realistic experimental parameters.

IV Data analysis

IV.1 The imperfection of ZZ\langle ZZ\rangle

We have given the form of the visibility in ZZ basis in Eq. S16. We find that it is subject to the following inequality:

ZZ1β1+β,-\langle ZZ\rangle\leq\frac{1-\beta}{1+\beta}, (S33)

where the equality holds under the condition en1=p11/p00e^{n}-1=\sqrt{p_{11}/p_{00}}, which is approximately satisfied in our experiments. Then we can compare the experimental results VEV_{E} with (1β)/(1+β)(1-\beta)/(1+\beta), where β\beta can be given by definition VβV_{\beta} or estimated from the experimental parameters VPV_{P} according to Eq. S22. The results are given in Tab. S2:

Table S2: Experimental and theoretical compression of visibility in Z basis.
𝑽𝑬\bm{V_{E}} 𝑽𝜷\bm{V_{\beta}} 𝑽𝑷\bm{V_{P}}
Storage time (ST) 𝟓𝝁𝒔\bm{5\mu s} 𝝍\bm{\psi^{-}} 0.60±0.070.60\pm 0.07 0.631±0.0210.631\pm 0.021 0.629±0.0160.629\pm 0.016
𝝍+\bm{\psi^{+}} 0.67±0.070.67\pm 0.07 0.661±0.0220.661\pm 0.022 0.619±0.0160.619\pm 0.016
Storage time (ST) 𝟏𝟎𝟕𝝁𝒔\bm{107\mu s} 𝝍\bm{\psi^{-}} 0.56±0.090.56\pm 0.09 0.551±0.0320.551\pm 0.032 0.561±0.0240.561\pm 0.024
𝝍+\bm{\psi^{+}} 0.69±0.090.69\pm 0.09 0.605±0.0350.605\pm 0.035 0.548±0.0250.548\pm 0.025
A-B 𝝍\bm{\psi^{-}} 0.71±0.090.71\pm 0.09 0.674±0.0290.674\pm 0.029 0.671±0.0210.671\pm 0.021
𝝍+\bm{\psi^{+}} 0.72±0.090.72\pm 0.09 0.685±0.0290.685\pm 0.029 0.665±0.0210.665\pm 0.021
A-C 𝝍\bm{\psi^{-}} 0.48±0.080.48\pm 0.08 0.513±0.0270.513\pm 0.027 0.510±0.0210.510\pm 0.021
𝝍+\bm{\psi^{+}} 0.53±0.0080.53\pm 0.008 0.577±0.0280.577\pm 0.028 0.511±0.0210.511\pm 0.021
B-C 𝝍\bm{\psi^{-}} 0.55±0.090.55\pm 0.09 0.586±0.0280.586\pm 0.028 0.541±0.0210.541\pm 0.021
𝝍+\bm{\psi^{+}} 0.49±0.090.49\pm 0.09 0.555±0.0280.555\pm 0.028 0.535±0.0210.535\pm 0.021

We can see that the experimental results VEV_{E} agree well with the estimated value VPV_{P}.

IV.2 The imperfection of VV

In Eq. S24, we have shown that the visibility XX/YY\langle XX/YY\rangle is bounded by V/(1+β)V/(1+\beta). The parameter β\beta captures the imperfection due to the high-order excitations, and the left part VV, defined as 2d/(p01+p10)2d/(p_{01}+p_{10}), describes the coherence of the Fock state entanglement. It can also be interpreted as the interference visibility of the read-out photons when two read-modes are combined with a BS. Here, we focus on several experimental imperfections that reduce the visibility VV, and we use VMV_{M} to represent the maximum visibility under a particular factor.

IV.2.1 High order excitations

The photon counts distribution p01,p10p_{01},\ p_{10} contain the contribution of high order excitations, which reduce the interference visibility. Considering the balanced retrieval efficiency ηr\eta_{r} and the atomic excitation distribution d10,d01,d11,d20,d02d_{10},\ d_{01},\ d_{11},\ d_{20},\ d_{02}, the photon count distribution p10,p01p_{10},\ p_{01} can be given by:

{p10=d10ηr+d11ηr(1ηr)+d20(1(1ηr)2)p01=d01ηr+d11ηr(1ηr)+d02(1(1ηr)2),\begin{cases}p_{10}=d_{10}\eta_{r}+d_{11}\eta_{r}(1-\eta_{r})+d_{20}(1-(1-\eta_{r})^{2})\\ p_{01}=d_{01}\eta_{r}+d_{11}\eta_{r}(1-\eta_{r})+d_{02}(1-(1-\eta_{r})^{2})\\ \end{cases}, (S34)

where the high order excitation terms are estimated as d11=d20=d02=χ(d10+d01)d_{11}=d_{20}=d_{02}=\chi(d_{10}+d_{01}). The maximum visibility is given by:

VM=d10ηr+d01ηrp01+p10=11+2χ(32ηr).V_{M}=\frac{d_{10}\eta_{r}+d_{01}\eta_{r}}{p_{01}+p_{10}}=\frac{1}{1+2\chi(3-2\eta_{r})}. (S35)

With the mean retrieval efficiency ηr\eta_{r} and the internal excitation probability χ\chi substituted into the above equation, we get the maximum visibility VMV_{M}, as shown in Tab. S3:

Table S3: VmV_{m} under high order excitations
𝑺𝑻 5𝝁𝒔\bm{ST\ 5\mu s} 𝑺𝑻 107𝝁𝒔\bm{ST\ 107\mu s} 𝑨𝑩\bm{A-B} 𝑨𝑪\bm{A-C} 𝑩𝑪\bm{B-C}
𝑽𝑴\bm{V_{M}} 0.935±0.0090.935\pm 0.009 0.910±0.0160.910\pm 0.016 0.954±0.0090.954\pm 0.009 0.894±0.0140.894\pm 0.014 0.909±0.0130.909\pm 0.013

IV.2.2 The indistinguishability of the read-out photons and the EP pulses

We use Hong-Ou-Mandel (HOM) interference to estimate the indistinguishability of the read-out photons and the EP pulses. The unnormalized density matrix of the read-out photons and the phase-randomized EP pulses can be given by:

ρro=|00|+pro|11|+pro(2)|22|,ρEP=|00|+pEP|11|+pEP(2)|22|,\begin{split}\rho_{ro}&=\ket{0}\bra{0}+p_{ro}\ket{1}\bra{1}+p_{ro}^{(2)}\ket{2}\bra{2},\\ \rho_{EP}&=\ket{0}\bra{0}+p_{EP}\ket{1}\bra{1}+p_{EP}^{(2)}\ket{2}\bra{2},\end{split} (S36)

where pro/EPp_{ro/EP} are the average photon numbers of read-out photons and the EP pulses, pro/EP(2)p_{ro/EP}^{(2)} represent the probability of two-photon term, and higher order terms are ignored. In ideal cases, g(2)g^{(2)} of the read-out photons is given by 2, and g(2)g^{(2)} of the EP pulses is given by 1. After mixing two fields with a BS, we can get the coincidence probability:

p12=pro22+pEP24+propEP2(1η).p_{12}=\frac{p_{ro}^{2}}{2}+\frac{p_{EP}^{2}}{4}+\frac{p_{ro}p_{EP}}{2}(1-\eta). (S37)

The first and second terms come from the two-photon component in the read-out photons and EP pulses, and the last term comes from the single-photon component of both fields. If they are completely indistinguishable, the last term disappears, and η\eta represents the indistinguishability of two fields [6]. When both fields are on, g(2)g^{(2)} is given by:

g(2)=pro22+pEP24+propEP2(1η)(pro2+pEP2)2.g^{(2)}=\frac{\frac{p_{ro}^{2}}{2}+\frac{p_{EP}^{2}}{4}+\frac{p_{ro}p_{EP}}{2}(1-\eta)}{(\frac{p_{ro}}{2}+\frac{p_{EP}}{2})^{2}}. (S38)

When η=1,pEP=2pro\eta=1,p_{EP}=2p_{ro}, g(2)g^{(2)} reaches its minimum value of 2/32/3. We get η\eta by setting pro2%,pEP4%p_{ro}\approx 2\%,p_{EP}\approx 4\%, and then measuring g(2)g^{(2)}. The measurement results of three nodes are listed in Tab. S4.

Table S4: 𝒈(𝟐)\bm{g^{(2)}} and 𝜼\bm{\eta} of three nodes
𝑨\bm{A} 𝑩\bm{B} 𝑪\bm{C}
𝒈(𝟐)\bm{\ \ g^{(2)}} 0.716±0.0190.716\pm 0.019 0.717±0.0140.717\pm 0.014 0.700±0.0280.700\pm 0.028
𝜼\bm{\eta} 0.90±0.040.90\pm 0.04 0.90±0.040.90\pm 0.04 0.95±0.080.95\pm 0.08

The indistinguishability of the read-out photons and the EP pulses will affect the visibility VV. We use the following polarization entangled state to model this imperfection:

12|H|ϕ1|V(η2|ϕ2+1η2|ϕ2)+12|V(η1|ϕ1+1η1|ϕ1)|H|ϕ2,\frac{1}{\sqrt{2}}\ket{H}\ket{\phi_{1}}\ket{V}(\sqrt{\eta_{2}}\ket{\phi_{2}}+\sqrt{1-\eta_{2}}\ket{\phi_{2}^{\perp}})+\frac{1}{\sqrt{2}}\ket{V}(\sqrt{\eta_{1}}\ket{\phi_{1}}+\sqrt{1-\eta_{1}}\ket{\phi_{1}^{\perp}})\ket{H}\ket{\phi_{2}}, (S39)

where |ϕ\ket{\phi} is the other degree of freedom of photons,ϕ1/2|ϕ1/2=0\braket{\phi_{1/2}}{\phi_{1/2}^{\perp}}=0, η1/2\eta_{1/2} represent the indistinguishability parameter at two nodes. In the superposition basis, the visibility is given by η1η2\sqrt{\eta_{1}\eta_{2}}. This value describes the decrease of VV due to the mode mismatch, and related experimental results are given in Tab. S5

Table S5: VMV_{M} under mode mismatch
𝑺𝑻 5𝝁𝒔\bm{ST\ 5\mu s} 𝑺𝑻 107𝝁𝒔\bm{ST\ 107\mu s} 𝑨𝑩\bm{A-B} 𝑨𝑪\bm{A-C} 𝑩𝑪\bm{B-C}
𝑽𝑴\bm{V_{M}} 0.900±0.0280.900\pm 0.028 0.900±0.0280.900\pm 0.028 0.900±0.0280.900\pm 0.028 0.92±0.040.92\pm 0.04 0.92±0.040.92\pm 0.04

IV.2.3 The imbalance between p01p_{01} and p10p_{10}

The imbalance of p01p_{01} and p10p_{10}, which stems from the imbalance of the internal excitation probability χ\chi, the transmission efficiency of write-out photons ηw\eta_{w} and the retrieval efficiency ηr\eta_{r}, will also lead to the decrease of VV. We have given the density matrix of the read-out photons in Eq. S11. The positive semidefiniteness of the density matrix puts an upper bound on dd:

dp01p10.d\leq\sqrt{p_{01}p_{10}}. (S40)

With the definition of VV, we get:

Vp01p10p01+p102.V\leq\frac{\sqrt{p_{01}p_{10}}}{\frac{p_{01}+p_{10}}{2}}. (S41)

The above equation shows the limitation of VV due to the imbalance of p10,p01p_{10},\ p_{01}, and the experimental results are given in Tab. S6:

Table S6: VMV_{M} under the imbalance of p10,p01p_{10},\ p_{01}
𝑺𝑻 5𝝁𝒔\bm{ST\ 5\mu s} 𝑺𝑻 107𝝁𝒔\bm{ST\ 107\mu s} 𝑨𝑩\bm{A-B} 𝑨𝑪\bm{A-C} 𝑩𝑪\bm{B-C}
𝑽𝑴\bm{V_{M}} 1.000±0.00121.000\pm 0.0012 0.995±0.0150.995\pm 0.015 1.000±0.0141.000\pm 0.014 0.997±0.0140.997\pm 0.014 0.994±0.00140.994\pm 0.0014

We can see that the imbalance of p01,p10p_{01},\ p_{10} decreases the visibility VV little.

IV.2.4 The phase instability

The phase instability is the critical factor that reduces the visibility VV. The polarization entanglement states with a phase uncertainty δθ\delta\theta can be written as: |ψ±=1/2(|HV±eiδθ|VH)\ket{\psi^{\pm}}=1/\sqrt{2}(\ket{HV}\pm e^{i\delta\theta}\ket{VH}). Considering a distribution of f(δθ)f(\delta\theta), the average visibility is given by:

VM=+f(δθ)cos(δθ)𝑑δθ.V_{M}=\int_{-\infty}^{+\infty}f(\delta\theta)\cos(\delta\theta)d\delta\theta. (S42)

We assume that δθ\delta\theta follows a Gaussian probability distribution with a mean of 0 and a standard deviation (SDSD) of σ\sigma. Then, we will get:

VM=eσ2/2,V_{M}=e^{-\sigma^{2}/2}, (S43)

which shows that the SDSD of the phase is the critical parameter we need to consider.

In the part IIII, we have given the phase of the entanglement states in ABA-B connection: ϕPMEAB=ϕLAϕLB+ϕRAB\phi_{PME}^{A-B}=\phi_{L}^{A}-\phi_{L}^{B}+\phi_{R}^{A-B}. Then the SDSD is given by two local phases SD[ϕLA/B]SD[\phi_{L}^{A/B}] and one remote phase SD[ϕRAB]SD[\phi_{R}^{A-B}]. We estimate the SDSD of the remote phase with the photon distribution of the phase probe laser after phase locking. The results are given in Fig. S4. Due to the higher phase noise of the lasers in node B, the phase locking performance in the A-B/B-C connection is worse than in the A-C connection.

Refer to caption
Refer to caption
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Figure S4: Remote phase locking precision estimation

As for the local phase SD[ϕL]SD[\phi_{L}], it consists of three parts: the memory phase SD[ϕa]SD[\phi_{a}], the interferometer phase SD[φin]SD[\varphi_{in}] and the laser phase SD[φl]SD[\varphi_{l}]. The memory phase is determined by the magnetic field at the atoms and the storage time:

ϕa=2μBgFBΔt.\phi_{a}=2\mu_{B}g_{F}B\Delta t. (S44)

The fluctuation of the magnetic field, which has a characteristic frequency of 50 Hz, is mainly caused by the surrounding power supplies. The SD of the magnetic field in three nodes is given by 1.9mG, 0.8mG, 0.4mG1.9mG,\ 0.8mG,\ 0.4mG. With the storage time of about 5μs5\mu s, we can get the SD of the memory phase, as shown in Tab. S7. As for the extended storage time experiments, the spin wave is transferred to clock transition, leading to three orders of magnitude reduction of the magnetic field sensitivity so that we can neglect the extra memory phase fluctuation due to longer storage time.

The phase instability coming from the local interferometers is estimated according to the interference signal after the phase locking, and the locking performance is also shown in Tab. S7. The significant difference in interferometer locking precision is due to vibration noise in the environment.

The last part of the phase instability comes from the lasers. We estimate SD[φl]SD[\varphi_{l}] according to the beat frequency of the write and read lasers, which are locked to an ultra-stable cavity and then phase-locked to each other. The beat signal at 6.8GHz is shifted to the DC range with a microwave signal source and a frequency mixer, and then recorded with an oscilloscope, whose bandwidth is 500 MHz. In this way, we can measure the phase difference of write and read laser: φ(t)=φw(t)φr(t)\varphi(t)=\varphi_{w}(t)-\varphi_{r}(t), and then we can estimate the phase instability of lasers by SD[Δφ(Δt)]SD[\Delta\varphi(\Delta t)], where Δφ(Δt)=φ(t+Δt)φ(t)\Delta\varphi(\Delta t)=\varphi(t+\Delta t)-\varphi(t), Δt\Delta t is the storage time. The measurement results are given in Fig. S5 and Tab. S7. The phase oscillation shows the characteristic frequency noise of the lasers at each node.

Refer to caption
Figure S5: The standard deviation of the phase change in Δt\Delta t
Table S7: The phase instability of memories, Interferometers and lasers.
Standard Deviation/rad node 𝑨\bm{A} node 𝑩\bm{B} node 𝑪\bm{C}
𝑺𝑫[ϕ𝒂]\bm{SD[\phi_{a}]} 0.084 0.035 0.018
𝑺𝑫[𝝋𝒊𝒏]\bm{SD[\varphi_{in}]} 0.029 0.135 0.063
𝑺𝑫[𝝋𝒍]𝒂𝒕 5𝝁𝒔\bm{SD[\varphi_{l}]\ at\ 5\mu s} 0.14 0.31 0.14
𝑺𝑫[𝝋𝒍]𝒂𝒕 107𝝁𝒔\bm{SD[\varphi_{l}]\ at\ 107\mu s} 0.20 0.33 0.17

With all the phase instability given above, the total SDSD of the local phase is given by:

SD[ϕL]=SD[ϕa]2+SD[φin]2+SD[φl]2.SD[\phi_{L}]=\sqrt{SD[\phi_{a}]^{2}+SD[\varphi_{in}]^{2}+SD[\varphi_{l}]^{2}}. (S45)

Then the phase instability of the entanglement state of two nodes A and B is estimated as:

SD[ϕPMEAB]=SD[ϕLA]2+SD[ϕLB]2+SD[φRAB]2.SD[\phi_{PME}^{A-B}]=\sqrt{SD[\phi_{L}^{A}]^{2}+SD[\phi_{L}^{B}]^{2}+SD[\varphi_{R}^{A-B}]^{2}}. (S46)

From Eq. S43 , we can evaluate the influence of the total phase instability on the visibility, and the results are given in Tab. S8

Table S8: VMV_{M} under the phase instability
𝑺𝑻 5𝝁𝒔\bm{ST\ 5\mu s} 𝑺𝑻 107𝝁𝒔\bm{ST\ 107\mu s} 𝑨𝑩\bm{A-B} 𝑨𝑪\bm{A-C} 𝑩𝑪\bm{B-C}
𝑽𝑴\bm{V_{M}} 0.89 0.88 0.89 0.95 0.89

IV.2.5 Summary

Table S9: The comparison between the theoretical estimation of VV and the experimental results
𝑺𝑻 5𝝁𝒔\bm{ST\ 5\mu s} 𝑺𝑻 107𝝁𝒔\bm{ST\ 107\mu s} 𝑨𝑩\bm{A-B} 𝑨𝑪\bm{A-C} 𝑩𝑪\bm{B-C}
High order excitations 0.935±0.0090.935\pm 0.009 0.910±0.0160.910\pm 0.016 0.954±0.0090.954\pm 0.009 0.894±0.0140.894\pm 0.014 0.909±0.0130.909\pm 0.013
Mode mismatch 0.900±0.0280.900\pm 0.028 0.900±0.0280.900\pm 0.028 0.900±0.0280.900\pm 0.028 0.92±0.040.92\pm 0.04 0.92±0.040.92\pm 0.04
Phase instability 0.89 0.88 0.89 0.95 0.89
Imbalance of Read-out photons 1.000±0.00121.000\pm 0.0012 0.995±0.0150.995\pm 0.015 1.000±0.0141.000\pm 0.014 0.997±0.0140.997\pm 0.014 0.994±0.00140.994\pm 0.0014
𝑽𝒕𝒉𝒆𝒐𝒓𝒚\bm{V_{theory}} 0.753±0.0260.753\pm 0.026 0.719±0.0280.719\pm 0.028 0.768±0.0270.768\pm 0.027 0.79±0.040.79\pm 0.04 0.75±0.040.75\pm 0.04
𝑽𝒆𝒙𝒑\bm{V_{exp}} 0.64±0.050.64\pm 0.05 0.59±0.60.59\pm 0.6 0.67±0.050.67\pm 0.05 0.73±0.060.73\pm 0.06 0.51±0.050.51\pm 0.05

In the above sections, we have discussed several experimental imperfections that reduce the visibility VV:

1. The high order excitations.

2. The indistinguishability of the read-out photons and the EP pulses.

3. The imbalance between p01p_{01} and p10p_{10}.

4. The phase instability.

The main reducing factors are the high-order excitations, the mode mismatch, and the phase instability. At the same time, the imbalance of the read-out photons has little influence. For different quantum nodes, the laser phase noises at node B are much larger than the other two. Due to more considerable transmission losses of the field deployed optical fibers between node C and the server node, we set a little higher internal excitation probability χ\chi at node C to balance the transmission losses. These two factors result in worse visibility in the B-C connection. Here, all the maximum visibility VMV_{M} under these experimental imperfections are summarized in Tab. S9, and we multiply them together as VtheoryV_{theory} to estimate their total contribution. The experimental results VexpV_{exp}, calculated according to its definition, are also given in Tab. S9. The experimental results are lower than the theoretical estimate, which hints other uncaptured experimental imperfections. For example, the slow laser intensity drift of the local interferometer locking beam will lead to the drift of the phase locking point, thus reducing the visibility VV.

References

  • [1] X.-Y. Luo, et al., Physical Review Letters 129, 50503 (2022).
  • [2] Y.-Q. Nie, et al., Review of Scientific Instruments 86, 063105 (2015).
  • [3] C. W. Chou, et al., Nature 438, 828 (2005).
  • [4] Y. Yu, et al., Nature 578, 240 (2020).
  • [5] D. Lago-Rivera, S. Grandi, J. V. Rakonjac, A. Seri, H. de Riedmatten, Nature 594, 37 (2021).
  • [6] L. Li, Y. Dudin, A. Kuzmich, Nature 498, 466 (2013).