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Nonequilibrium spintronic transport through Kondo impurities

Anand Manaparambil anaman@amu.edu.pl Institute of Spintronics and Quantum Information, Faculty of Physics, Adam Mickiewicz University, Uniwersytetu Poznańskiego 2, 61-614 Poznań, Poland    Andreas Weichselbaum Department of Condensed Matter Physics and Materials Science, Brookhaven National Laboratory, Upton, New York 11973-5000, USA    Jan von Delft Arnold Sommerfeld Center for Theoretical Physics, Center for NanoScience, and Munich Center for Quantum Science and Technology, Ludwig-Maximilians-Universität München, 80333 Munich, Germany    Ireneusz Weymann Institute of Spintronics and Quantum Information, Faculty of Physics, Adam Mickiewicz University, Uniwersytetu Poznańskiego 2, 61-614 Poznań, Poland
(July 28, 2025)
Abstract

In this work we analyze the nonequilibrium transport through a quantum impurity (quantum dot or molecule) attached to ferromagnetic leads by using a hybrid numerical renormalization group-time-dependent density matrix renormalization group thermofield quench approach.For this, we study the bias dependence of the differential conductance through the system, which shows a finite zero-bias peak, characteristic of the Kondo resonance and reminiscent of the equilibrium local density of states. In the non-equilibrium settings, the resonance in the differential conductance is also found to decrease with increasing the lead spin polarization. The latter induces an effective exchange field that lifts the spin degeneracy of the dot level. Therefore as we demonstrate, the Kondo resonance can be restored by counteracting the exchange field with a finite external magnetic field applied to the system. Finally, we investigate the influence of temperature on the nonequilibrium conductance, focusing on the split Kondo resonance. Our work thus provides an accurate quantitative description of the spin-resolved transport properties relevant for quantum dots and molecules embedded in magnetic tunnel junctions.

I Introduction

Charge and spin transport through nanostructures such as nanowires, quantum dots or molecules have been under rigorous experimental as well as theoretical research worldwide. These studies are motivated primarily by the possible applications in spintronics, nanoelectronics and spin caloritronics, as well as fascinating physics emerging at the nanoscale [1, 2, 3, 4]. In particular, the high research interest in transport through artificial quantum impurity systems stems from the observation of the Kondo effect, a many-body phenomenon, in which the spin of a quantum impurity becomes screened by conduction electrons of attached electrodes [5, 6, 7]. Many studies, both experimental and theoretical ones, focused on providing a deep understanding of the interplay between the Kondo physics and other many-body phenomena, such as e.g. ferromagnetism [8, 9] or superconductivity [10, 11], have been carried out. In this regard, especially interesting in the context of spin nanoelectronics, are quantum dots or molecules attached to ferromagnetic electrodes [12, 13]. Besides the fact that such nanostructures allow for implementing devices with high spin-resolved properties, they enable the exploration of the interplay between the itinerant ferromagnetism with the strong electron correlations [9, 14, 15, 16]. In fact, the spintronic transport properties of ferromagnetic quantum impurity systems have been a subject of extensive investigations [8, 17, 18, 9, 19, 20, 14, 15, 21, 16, 22, 23, 24, 25], however, their accurate quantitative description in truly nonequilibrium settings still poses a formidable challenge.

Reliable equilibrium and linear-response studies of transport through quantum impurity systems have been made possible by a robust non-perturbative numerical renormalization group (NRG) method [26, 27]. Unfortunately, this method falls short when describing the nonequilibrium behavior. On the other hand, although nonequilibrium situations can be studied by various analytical methods, their main drawback is an approximate treatment of electron correlations. It is important to note that these disadvantages have been overcome by the time-dependent density matrix renormalization group (tDMRG) method [28] which however has the drawback that it can only reliably study the system’s behavior for timescales of the order 1/D1/D, where DD is the half-bandwidth of the conduction band. A reliable quantum quench approach to study the transport through quantum impurity systems out-of-equilibrium has been recently proposed by F. Schwarz et al. [29]. This approach combines both the NRG and tDMRG methods and, in addition, makes use of the thermofield treatment [30] to efficiently describe the system.

In this paper, by employing the hybrid NRG-tDMRG thermofield quench approach [29], we provide an accurate theoretical investigation of the nonequilibrium transport through a quantum impurity interacting with ferromagnetic leads. In particular, we study the bias voltage dependence of the differential conductance, which exhibits a zero-bias peak, a characteristic feature of the Kondo effect, when the system is tuned to the particle-hole symmetry point. We show that the Kondo energy scale in the applied bias potential decreases with increasing the lead spin polarization. On the other hand, when we detune the system away from this symmetry point, we observe a splitting of the zero-bias peak for finite lead spin polarization, which can be attributed to the emergence of a local exchange field in the impurity. Furthermore, we study the behavior of this split-Kondo peak under external parameters, such as applied magnetic field or temperature. We show that a particular value of the magnetic field can lead to the restoration of the Kondo resonance in the system. Moreover, we determine the temperature dependence of the differential conductance at the bias voltage corresponding to the split Kondo peak.

The paper is organized as follows. In Sec. II we describe the model and method used in calculations. Main results and their discussion are presented in Sec. III, where we first analyze the differential conductance at the particle-hole symmetry point, and then study the effect of finite exchange field on the transport behavior. We also examine the possibility to restore the Kondo effect by magnetic field and determine the temperature dependence. Finally, the paper is summarized in Sec. IV.

II Model and method

Refer to caption
Figure 1: Model system – A magnetic impurity (quantum dot or molecule), characterized by an orbital level of energy εd\varepsilon_{d} and Coulomb correlations UU, is attached to two ferromagnetic contacts with spin-dependent coupling strengths ΓLσ\Gamma_{L\sigma} and ΓRσ\Gamma_{R\sigma}, respectively. These leads are locally in equilibrium at a global temperature TT, yet with a voltage bias V=μLμRV=\mu_{L}-\mu_{R} that is applied symmetrically across them.

The considered system consists of a quantum impurity (quantum dot or a molecule) attached to two ferromagnetic leads with spin-dependent couplings, subject to a voltage bias, as shown schematically in Fig. 1. More specifically, such system can be described by a single impurity Anderson model [31], in which the quantum impurity is modeled as

Himp=σεdσnσ+Unn,H_{\text{imp}}=\sum_{\sigma}\varepsilon_{d\sigma}n_{\sigma}+U{n}_{\uparrow}{n}_{\downarrow}, (1)

with nσ=dσdσ{n}_{\sigma}=d^{\dagger}_{\sigma}d_{\sigma}, where dσd^{\dagger}_{\sigma} creates an electron with spin σ{,}{+1,1}\sigma\in\{\uparrow,\downarrow\}\equiv\{+1,-1\} at the impurity, εdσεdσ2B\varepsilon_{d\sigma}\equiv\varepsilon_{d}-\tfrac{\sigma}{2}B denotes the energy of an impurity energy level with BB the external magnetic field in units of gμB1g\mu_{B}\equiv 1, and UU the Coulomb repulsion experienced when the level is doubly occupied.

The leads attached to the impurity are assumed to be ferromagnetic metals and are characterized by the Fermi functions, fα(ω)=[e(ωμα)/T+1]1f_{\alpha}(\omega)=[e^{(\omega-\mu_{\alpha})/T}+1]^{-1} (using units =kB=e=1\hbar=k_{B}=e=1, throughout), where the index α\alpha refers to the leads, α{L,R}{1,+1}\alpha\in\{L,R\}\equiv\{-1,+1\} and μα=αV/2\mu_{\alpha}=\alpha V/2. The lead Hamiltonian reads as follows

Hlead=αkσεαkσcαkσcαkσ,H_{\text{lead}}=\sum_{\alpha k\sigma}\varepsilon_{\alpha k\sigma}c^{\dagger}_{\alpha k\sigma}c_{\alpha k\sigma}^{\ }, (2)

with cαkσc^{\dagger}_{\alpha k\sigma} creating an electron in lead α\alpha with energy εαkσ\varepsilon_{\alpha k\sigma}, momentum kk, and spin σ\sigma. The quantum impurity is coupled to the leads according to the Hamiltonian HhybH_{\rm hyb},

Hhyb=αkσ(vαkσdσcαkσ+H.c.).H_{\text{hyb}}=\sum_{\alpha k\sigma}(v_{\alpha k\sigma}d^{\dagger}_{\sigma}c_{\alpha k\sigma}+\text{H.c.}). (3)

Electronic transition between each lead mode cασkc_{\alpha\sigma k} and the impurity spin state σ\sigma is specified by the tunnel matrix elements vαkσv_{\alpha k\sigma}. This coupling between the lead and impurity induces an impurity-lead hybridization in the system, expressed by the hybridization function Γασ(ω)=πk|vαkσ|2δ(ωεαkσ)\Gamma_{\alpha\sigma}(\omega)=\pi\sum_{k}|v_{\alpha k\sigma}|^{2}\delta(\omega-\varepsilon_{\alpha k\sigma}). Finally, the total Hamiltonian of the system reads,

Htot=Himp+Hlead+Hhyb.H_{\text{tot}}=H_{\text{imp}}+H_{\text{lead}}+H_{\text{hyb}}. (4)

In this work we assume a constant hybridization function over the entire bandwidth 2D2D (we use D:=1D:=1 as unit of energy throughout, unless specified otherwise). The hybridization function can thus be written as Γασ(ω)=Γασϑ(D|ω|)\Gamma_{\alpha\sigma}(\omega)=\Gamma_{\alpha\sigma}\,\vartheta(D-|\omega|), with ϑ()\vartheta({\color[rgb]{.0,.5,.2}{\cdot}}) the Heaviside step function and constant Γασ=πρασ|vασ|2\Gamma_{\alpha\sigma}=\pi\rho_{\alpha\sigma}|v_{\alpha\sigma}|^{2}, where ρασ\rho_{\alpha\sigma} is the spin-dependent density of states of lead α\alpha. Assuming vασvv_{\alpha\sigma}\equiv v is independent of spin or lead, it is then convenient to introduce the spin polarization pαp_{\alpha} of the ferromagnetic contact α\alpha,

pα=ραραρα+ρα .\displaystyle p_{\alpha}=\tfrac{\rho_{\alpha\uparrow}-\rho_{\alpha\downarrow}}{\rho_{\alpha\uparrow}+\rho_{\alpha\downarrow}}\text{ .} (5)

The coupling strength can be then written as Γασ=(1+σpα)Γα\Gamma_{\alpha\sigma}=(1+\sigma p_{\alpha})\Gamma_{\alpha}, with Γα=(Γα+Γα)/2\Gamma_{\alpha}=(\Gamma_{\alpha\uparrow}+\Gamma_{\alpha\downarrow})/2. The total coupling strength for spin σ\sigma is given by, Γσ=ΓLσ+ΓRσ\Gamma_{\sigma}=\Gamma_{L\sigma}+\Gamma_{R\sigma}. In the following we assume that the system is left-right symmetric, i.e. ΓL=ΓRΓ/2\Gamma_{L}=\Gamma_{R}\equiv\Gamma/2 and pL=pRpp_{L}=p_{R}\equiv p. Consequently, the computed electrical current through the impurity is independent of the sign of the applied bias voltage VV, and therefore it suffices to analyze V0V\geq 0.

The impurity parameters are fixed to

U=0.012,Γ=0.001\displaystyle U=0.012\ ,\quad\Gamma=0.001 (6)

throughout our paper to ensure a well-defined Kondo regime well isolated from the finite bandwidth, with the impurity level position εd\varepsilon_{d} varied from particle-hole symmetric (εd=U/2\varepsilon_{d}=-U/2) to asymmetric (εd=U/3\varepsilon_{d}=-U/3).

We use a hybrid NRG-tDMRG thermofield quench method [29] to study the non-equilibrium behavior of the system. This initializes the leads in thermal equilibrium at their respective chemical potentials, before they get dynamically coupled when smoothly turning on the coupling to the impurity. This method can treat the correlations exactly while sustaining the nonequilibrium conditions of a fixed chemical potential difference and fixed temperature in the leads. We define a transport window (TW) defined by the Fermi functions of the leads [fL(ω)fR(ω)][f_{L}(\omega)\neq f_{R}(\omega)]. The energies outside the TW are assumed to be in equilibrium and discretized logarithmically according to the logarithmic discretization parameter Λ\Lambda and energies inside the TW are assumed to be out of equilibrium and discretized linearly according to the linear discretization parameter δ\delta. A thermofield treatment is performed on the discrete energy levels which maps the system to a particle-hole representation. Moreover, in this particle-hole picture, the tunnel matrix elements turn out to be functions of the bias voltage VV, thus containing the information about the non-equilibrium settings. The particle and hole modes in the leads are recombined separately, leaving the impurity coupled with one set of effective particle and one set of effective hole modes. Then, NRG is applied to the logarithmically discretized part of the system, resulting in a renormalized impurity (RI), which is coupled to the linearly discretized part of the hole and particle chain. We represent the RI in the matrix product state (MPS) framework as one site of the MPS chain coupled to completely filled particle and completely empty hole modes in the linearly discretized sector. The system is then time-evolved using a second-order Trotter time evolution, where the coupling between the RI and the lead modes are switched on over a finite time window. Further details of the method are presented in App. A.

III Results and discussion

In the case of quantum dots or molecules attached to ferromagnetic contacts the transport properties are strongly dependent on the spin-resolved charge fluctuations between the impurity and ferromagnets. These fluctuations give rise to the level renormalization δεσ\delta\varepsilon_{\sigma}. Because for p>0p>0, δεδε\delta\varepsilon_{\uparrow}\neq\delta\varepsilon_{\downarrow}, a spin splitting of the impurity level can be generated, Δεexchδεδε\Delta\varepsilon_{\rm exch}\equiv\delta\varepsilon_{\uparrow}-\delta\varepsilon_{\downarrow}, referred to as a ferromagnetic-contacted induced exchange field. Here the exchange field is defined such that Δεexch>0\Delta\varepsilon_{\rm exch}>0 tends towards a negative impurity magnetization, which in terms of sign is contrary to the definition of BB in Eq. (1). Hence the effective total magnetic field experienced by the impurity is given by

BtoteffBΔεexchB_{\mathrm{tot}}^{\mathrm{eff}}\simeq B-\Delta\varepsilon_{\rm exch} (7)

The exchange field in the local moment regime can be estimated within the second-order perturbation theory and it is given by [8]

Δεexch(p)=2pΓπRe[ϕ(εd)ϕ(εd+U)],\Delta\varepsilon_{\rm exch}(p)=\tfrac{2p\Gamma}{\pi}\text{Re}\big{[}\phi(\varepsilon_{d})-\phi(\varepsilon_{d}+U)\big{]}, (8)

where ϕ(ε)=Ψ(12+iε2πT)\phi(\varepsilon)=\Psi(\tfrac{1}{2}+\tfrac{\mathrm{i}\mkern 1.0mu\varepsilon}{2\pi T}), with Ψ(z)\Psi(z) being the digamma function. At T=0T=0, the formula for the exchange field simply becomes

Δεexchp=p2Γπln|εdεd+U|γ(Γ,εdU) .\displaystyle\Delta\varepsilon_{\rm exch}^{p}=p\underbrace{\tfrac{2\Gamma}{\pi}\ln|\tfrac{\varepsilon_{d}}{\varepsilon_{d}+U}|}_{\equiv\gamma(\Gamma,\frac{\varepsilon_{d}}{U})}\text{ .} (9)

The most important property of Δεexch\Delta\varepsilon_{\rm exch} is its tunability with changing the position of the orbital level. As follows from the above formula, Δεexch\Delta\varepsilon_{\rm exch} changes sign when crossing the particle-hole (p-h) symmetry point, εd=U/2\varepsilon_{d}=-U/2, at which it vanishes.

We begin our analysis with the study of the influence of the lead polarization on the nonequilibrium conductance of the system when the impurity energy level is tuned to εd=U/2\varepsilon_{d}=-U/2. We then proceed to examine the case when the system is detuned from the p-h symmetry point (εdU/2\varepsilon_{d}\neq-U/2), where the exchange field can introduce spin-splitting in the system. We also analyze the influence of temperature and applied magnetic field on the split Kondo resonance observed in the differential conductance out of the p-h symmetry point.

III.1 Conductance at the p-h symmetry point

Refer to caption
Figure 2: The bias voltage dependence at T=0T=0 and particle-hole symmetry εd=U/2\varepsilon_{d}=-U/2 of (a) the mean current JJ on a log-log scale (inset lin-log), and (b) the corresponding differential conductance GG on a lin-log scale. The various curves are for different values of the lead spin polarization pp, as indicated.
Refer to caption
Figure 3: Comparison of the Kondo energy scale VKV_{\mathrm{K}} in the applied bias potential at εd=U/2\varepsilon_{d}=-U/2 [Eq. (6)] with the corresponding equilibrium values of TKT_{\mathrm{K}} obtained from NRG calculations, and the theoretical prediction for TKT_{\mathrm{K}} (denoted by TK,pT_{\mathrm{K},p}) using the poor man’s scaling approach, Eq. (10). The Kondo energy scales are normalized with their corresponding values at p=0p=0, having TK,0=2.2105T_{\mathrm{K},0}=2.2\cdot 10^{-5} and VK(0)=3.6105=1.64TK,0V_{K}(0)=3.6\cdot 10^{-5}=1.64\,T_{\mathrm{K},0}, and TK(0)=2.6105=1.18TK,0T_{\mathrm{K}}(0)=2.6\cdot 10^{-5}=1.18\,T_{\mathrm{K},0}.

The mean current J(V)J(V) and the corresponding differential conductance G(V)G(V) through the system calculated at the particle-hole symmetry point (εd=U/2\varepsilon_{d}=-U/2) for different values of the lead spin polarization pp are presented in Fig. 2. For this we always evaluate the symmetrized current as discussed in App. A.2 [cf. Eq. (14)]. For p=0p=0, we observe a zero-bias conductance peak, characteristic of the Kondo effect [6, 7]. However when pp is finite, the Kondo temperature is found to decrease with increasing the lead spin polarization. This was predicted to affect the Kondo temperature of the system at equilibrium by using the poor man’s scaling method as [8]

TK,pΓU2exp{πεd(εd+U)2ΓUarctanh(p)p}.T_{\mathrm{K},p}\equiv\sqrt{\tfrac{\Gamma U}{2}}\exp\Big{\{}\tfrac{\pi\varepsilon_{d}(\varepsilon_{d}+U)}{2\Gamma U}\tfrac{\text{arctanh}(p)}{p}\Big{\}}. (10)

The decrease of the Kondo energy scale with spin polarization can be understood by realizing that by construction with Eq. (5), increasing polarization reduces the hybridization of the suppressed spin orientation. As such, this decreases the rate of spin-flip cotunneling processes responsible for the Kondo effect.

To quantitatively elucidate the influence of pp on the Kondo effect, we define the Kondo energy scale VKV_{\mathrm{K}} in the applied bias voltage as the half maxima point of the conductance curve, i.e., G(VK)/G(0)=12G(V_{\mathrm{K}})/G(0)=\frac{1}{2} at T=B=0T=B=0. In Fig. 3 we present the dependence of VKV_{\mathrm{K}} obtained from our NRG-tDMRG numerical calculations along with the Kondo temperature TK,pT_{\mathrm{K},p} estimated from Eq. (10) by using the poor man’s scaling, and TK(p)T_{\mathrm{K}}(p) calculated using the equilibrium NRG [32] from the temperature dependence of the linear conductance based on the definition G(TK)/G(0)=12G(T_{\mathrm{K}})/G(0)=\frac{1}{2}. Our nonequilibrium data corroborates the general tendency to decrease the Kondo energy scale with increasing the spin polarization pp. However, Fig. 3 also demonstrates some deviations: VKV_{\mathrm{K}} is slightly larger than the equilibrium TKT_{\mathrm{K}}, but smaller than the Kondo temperature predicted by the analytical formula (10), after normalizing the Kondo energy scales with respect to their respective values at p=0p=0.

III.2 Effect of finite exchange field

Refer to caption
Figure 4: (a) The differential conductance GG as a function of the bias voltage in the case when the orbital level is detuned from the particle-hole symmetry point (solid lines) using εd=U/3\varepsilon_{d}=-U/3 [Eq. (6)] for different values of the spin polarization pp as indicated in the legend. To check the continuity from the equilibrium regime, the corresponding NRG results for the linear response conductance are marked by the color-matched symbols (squares) on the left vertical axis. For comparison, we also show curves, where the macroscopic spin polarization was turned off and replaced, instead, by the corresponding local magnetic field B=ΔεexchpB=\Delta\varepsilon_{\rm exch}^{p} (dotted curves). Here the value for Δεexchp\Delta\varepsilon_{\rm exch}^{p} was determined by Eq. (8) at T=0T=0, and its absolute value is indicated by the color-coded arrows. For p=0p=0, we obtain TK0=3.7105,VK=6105=1.62TK,0T_{K0}=3.7\cdot 10^{-5},V_{\mathrm{K}}=6\cdot 10^{-5}=1.62\,T_{\mathrm{K},0} for the voltage bias where the differential conductance drops to half its zero-bias value. (b) The filled (empty) circles maps the location of the split-Kondo peak from the solid (dotted) curves in Fig. 4(a), denoted by VpeakV_{\mathrm{peak}}, tracked as a function of spin polarization pp. Solid lines in the panel (b) present the extrapolation using a linear fit on the squared data for the smallest polarizations (first three data points),thus fitting Vpeak=a0γp2p02V_{\rm peak}=a_{0}\gamma\sqrt{p^{2}-p_{0}^{2}} having Δεexch=γp\Delta\varepsilon_{\rm exch}=\gamma p with γ=0.4413Γ\gamma=0.4413\,\Gamma [cf. Eq. (9)], and the fit parameters a0=1.001,p0=0.072a_{0}=1.001,p_{0}=0.072 (vertical line). Similarly, the fit on the open symbols (dotted line) results in a0=0.860,p0=0.070a_{0}=0.860,p_{0}=0.070.

We now discuss the behavior of the differential conductance in the case when the energy level is away from the p-h symmetry point (εd=U/3\varepsilon_{d}=-U/3), but still in the local moment regime where the strong electron correlations play a vital role. The solid lines in Figure 4(a) show the bias dependence of the conductance with increase in the lead spin polarization pp, computed at zero external magnetic field. One observes a finite zero-bias peak that gets suppressed when pp grows. This effect can be attributed to the emergence of exchange field in the system, cf. Eq (8). The exchange field introduces a spin splitting of the orbital level, which suppresses the Kondo resonance, once |Δεexch|TK,VK|\Delta\varepsilon_{\rm exch}|\gtrsim T_{\mathrm{K}},V_{\mathrm{K}}. The color-coded arrows in Fig. 4(a) indicate the magnitude of the exchange field for the corresponding spin polarizations obtained from Eq. (8) with T=0T=0. When the exchange field energy approaches the Kondo energy scale of the system, |Δεexch|TK|\Delta\varepsilon_{\rm exch}|\approx T_{\mathrm{K}}, the zero-bias conductance becomes suppressed. When increasing the spin polarization further, the differential conductance starts to develop a peak around VVpeak|Δεexch|V\equiv V_{\mathrm{peak}}\approx|\Delta\varepsilon_{\rm exch}|, which is a reminiscent of the splitting of the local density of states (lDOS) vs. frequency in the presence of a sufficiently strong local magnetic field. To be specific, the peak in the differential conductance presented in Fig. 4(a) emerges for p0.1p\gtrsim 0.1. For this value of spin polarization, one can find that TK,p=3.66105,|Δεexchp|4.4105=1.2TK,pT_{\mathrm{K},p}=3.66\cdot 10^{-5},|\Delta\varepsilon_{\rm exch}^{p}|\simeq 4.4\cdot 10^{-5}=1.2\,T_{\mathrm{K},p}. Increasing the polarization further, the peak at V|Δεexch|V\approx|\Delta\varepsilon_{\rm exch}| persists while at the same time, the conductance overall also diminishes.

The dotted lines in Fig. 4(a) correspond to the case in which the system has no exchange field (i.e., p=0p=0), but there is an external magnetic field applied, whose magnitude equals the exchange field calculated from Eq. (8) according to the spin polarizations mentioned in Fig. 4(a). This comparison shows two major differences between the exchange field and the magnetic field. Firstly, a strong enough exchange field suppresses the split-Kondo peak in the differential conductance significantly more strongly and only leaves a residual conductance derived from the hybridization side peaks energies VεdV\simeq\varepsilon_{d} [note the log-scale in Fig. 4 (a)]. This is mainly attributed to the fact that the Kondo scale gets reduced with increasing the spin polarization [cf. Fig. 3], such that the ratio |Δεexch|/TK|\Delta\varepsilon_{\rm exch}|/T_{\mathrm{K}} is enhanced for the presence of an exchange field when compared to a local magnetic field. Secondly, the location of the split Kondo peak for finite pp occurs at slightly higher voltages than for the case of a local magnetic field. The latter effect may be attributed to BΔεexchB\approx\Delta\varepsilon_{\rm exch} representing a lowest-order estimate. The explicit dependence of VpeakV_{\mathrm{peak}} on the spin polarization pp in the two above-discussed cases is shown in Fig. 4(b). For comparison, we also present the pp-dependence of Δεexch\Delta\varepsilon_{\rm exch} and TK,pT_{\mathrm{K},p} estimated from the respective analytical formulas. One can see that indeed the split Kondo peak emerges when |Δεexch|TK,p|\Delta\varepsilon_{\rm exch}|\gtrsim T_{\mathrm{K},p}. Moreover, by comparing Δεexch\Delta\varepsilon_{\rm exch} and TK,pT_{\mathrm{K},p}, one can find that these two energy scales become equal for p=0.0834p=0.0834. Keeping in mind that this is an approximate estimate, our numerical results corroborate this tendency very well. The split-Kondo peak shows a slightly nonlinear behavior around low spin polarizations. We fit the Vpeak2V_{\mathrm{peak}}^{2} data against p2p^{2} to unveil any behavior of the form Vpeakp2p02V_{\mathrm{peak}}{\color[rgb]{.0,.5,.2}{\sim}}\sqrt{p^{2}-p_{0}^{2}}. Both the fits for the exchange field and the corresponding magnetic field give essentially the same value of p00.071p_{0}{\color[rgb]{.0,.5,.2}{\simeq 0.071}} indicated by the grey vertical line on panel Fig. 4(b). The prefactor of the fit is exactly one (1.0011.001) within numerical accuracy in the presence of polarization, having Vpeak(Δεexch)2(γp0)2V_{\rm peak}\simeq\sqrt{(\Delta\varepsilon_{\rm exch})^{2}-(\gamma p_{0})^{2}} [cf. Eq. (9)]. This is also clearly seen in Fig. 4(b) in that the fit exactly coincides with Δεexch\Delta\varepsilon_{\rm exch} for larger pp. In the case of a substitute local magnetic field B=ΔεexchpB=\Delta\varepsilon_{\rm exch}^{p} but unpolarized leads, the fit reads Vpeak0.860(Δεexch)2(γp0)2V_{\rm peak}\simeq 0.860\sqrt{(\Delta\varepsilon_{\rm exch})^{2}-(\gamma p_{0})^{2}}. This systematically offsets the peaks with the dashed data in Fig. 4(a) by a constant factor 0.8600.860 towards slightly smaller values of the bias voltage, yet leads to a disappearance of the split-peak at around the same polarization p0p_{0}. On the semilog scale in Fig. 4(b) this change in the prefactor simply shifts the fits vertically relative to each other as also reflected in the data for the full polarization range.

The symbols on the left vertical axis in Fig. 4(a) correspond to the linear response data obtained by NRG, which is equivalent to the differential conductance for V0V\to 0. As also seen in later figures, while we have good overall consistency [e.g., see inset of Fig. 6(b)], there are minor quantitative differences in the NRG-tDMRG results while comparing with the linear-response NRG results. These are attributed to the different parametrization and discretization schemes. Specifically, linear conductance within linear response in NRG can be obtained strictly at V=0+V=0^{+} [33]. In constrast, the NRG-tDMRG approach always must assume a small but finite voltage in the presence of a finite level spacing with the objective to numerically compute a steady-state current via a real-time simulation.

III.3 The influence of magnetic field

Refer to caption
Figure 5: The differential conductance GG as a function of the bias voltage calculated at fixed p=0.2p=0.2 for different values of external magnetic field as indicated using εd=U/3\varepsilon_{d}=-U/3 [Eq. (6)], thus having Δεexchp=0.0882Γ\Delta\varepsilon_{\rm exch}^{p}=-0.0882\,\Gamma [Eq. (9)]. The color-matched arrows indicate |Btoteff||B_{\mathrm{tot}}^{\mathrm{eff}}| as defined in Eq. (7). The corresponding NRG results for the linear response conductance are shown by the color-matched symbols (squares) on the left vertical axis. The inset shows the behaviour of G(B,V0)G({\color[rgb]{.0,.5,.2}{B,}}V\rightarrow 0) as a function of the magnetic field BB, with a significantly more dense set of data points from NRG-tDMRG (line), and the symbols from NRG as in the main panel. The maximum of G(B)G(B) occurs at Bmax=1.12ΔεexchpB_{\rm max}=1.12\,\Delta\varepsilon_{\rm exch}^{p}.

In Fig. 5 we study the influence of external magnetic field on the split Kondo peak exhibited by the system detuned out of the p-h symmetry point assuming the lead spin polarization p=0.2p=0.2. We observe a full restoration of the zero-bias Kondo resonance by an applied magnetic field with magnitude that can counterbalance the spin splitting induced by the exchange field, see the curve for B=1.1ΔεexchpB=1.1\,\Delta\varepsilon_{\rm exch}^{p} in Fig. 5. However, a further increase in magnetic field is shown to suppress the zero-bias peak again. This behavior qualitatively matches the experimental results discussed in the Fig. 2 of the Ref. [14]. As seen from the color-coded arrows in Fig. 5, the position of the split Kondo resonance corresponds to V|Btoteff|V\approx|B_{\mathrm{tot}}^{\mathrm{eff}}| as defined in Eq. (7). The revival of the Kondo resonance can be distinctly observed from the inset of Fig. 5 where G(V0)G(V\rightarrow 0) exhibits a maximum around BmaxΔεexchpB_{\rm max}\simeq\Delta\varepsilon_{\rm exch}^{p} such that Btoteff0B_{\mathrm{tot}}^{\mathrm{eff}}\simeq 0 [Eq. (7)]. More precisely, from in the inset of Fig. 5, Bmax=1.12|Δεexchp=0.2|B_{\rm max}=1.12\,|\Delta\varepsilon_{\rm exch}^{p=0.2}|, with the small difference primarily attributed to the perturbative nature of the analytic formula Eq. (8). The prefactor approximately coincides with a similar scale factor already encountered with Fig. 4(b) where B=ΔεexchpB=\Delta\varepsilon_{\rm exch}^{p} also underestimated the peak position by an approximate factor 1/0.860=1.161/0.860=1.16.

Refer to caption
Figure 6: The bias voltage dependence of the differential conductance GG for fixed p=0.2p=0.2 and B=0B=0 calculated for different temperatures as indicated in the legend, using εd=U/3\varepsilon_{d}=-U/3 [Eq. (6)]. Panel (a) presents G(V)G(V) on the logarithmic scale, while (b) shows the same data on the linear scale with focus on the low-bias behavior. The linear-response NRG results are shown by the color-matched symbols on the left axis. The inset in (b) compares the linear response conductance as a function of temperature of our hybrid scheme (using V=103TV=10^{-3}T) with NRG results, where the large square symbols of the latter are identical with the ones in the main panels.
Refer to caption
Figure 7: The energy dependence of the equilibrium zero-temperature normalized spectral function πΓσAσ(ω)\pi\Gamma_{\sigma}A_{\sigma}(\omega) calculated for εd=U/3\varepsilon_{d}=-U/3, p=0.2p=0.2 and B=0B=0 [Eq. (6)]. The dashed lines show the negative part of the energy spectrum. Note the logarithmic energy scale.
Refer to caption
Figure 8: The temperature dependence of the differential conductance GG at fixed bias voltage V=VpeakV=V_{\mathrm{peak}} corresponding to the maximum of the split Kondo peak in Fig. 4(a) calculated for different spin polarizations, using εd=U/3\varepsilon_{d}=-U/3 [Eq. (6)], where the symbols on the left axis replicate the peak in the zero-temperature data in Fig. 4. The color-matched vertical dotted lines mark the peak bias voltage V(p)V(p) at which conductance is calculated, whereas the dashed lines indicate |Δεexchp||\Delta\varepsilon_{\rm exch}^{p}|. These are roughly located where the peak conductance is reduced by about half relative to a background conductance due to the hybridization side-peaks at energy εd\varepsilon_{d}.

III.4 Temperature dependence of split Kondo peak

In this section we analyze the effect of finite temperature on the split Kondo resonance. Figure 6 shows the bias voltage dependence of the differential conductance for various temperatures calculated for εd=U/3\varepsilon_{d}=-U/3 and p=0.2p=0.2. One can see that increasing TT results in the suppression of the split Kondo peak, which completely disappears once the thermal energy exceeds the induced exchange splitting. Increasing temperature still further overall suppresses the differential conductance. The suppression of the split-Kondo peak is accompanied with a weak increase of the conductance at zero bias for temperatures corresponding to the splitting of the lDOS due to the exchange field, as seen in the inset of Fig. 6(b). This can be used to estimate the temperature where the splitting in the differential conductance disappears. The split-Kondo peak can survive up to a maximum temperature TmaxT_{\mathrm{max}} defined as the temperature in which G(V0,T)=G(V=Vpeak,T)G(V\rightarrow 0,T)=G(V=V_{\mathrm{peak}},T). For the spin polarization p=0.2p=0.2, we estimate Tmax=2.06102Γ=TK,0.2T_{\mathrm{max}}=2.06\cdot 10^{-2}\,\Gamma=T_{\mathrm{K},0.2}.

The V0V\rightarrow 0 differential conductance is equivalent to linear-response in thermal equilibrium. The latter is readily obtained by NRG, with a direct comparison shown in the inset of Fig. 6(b). Overall, we observe good quantitative agreement. The points corresponding to the temperatures plotted in the main panels are marked by the same color-matched symbols (squares). Since linear response can be efficiently obtained by NRG, this permits a more dense set of data points in the inset.

The weak increase in the linear-response conductance for a finite temperature can be explained by examining the energy dependence of the equilibrium local density of states, i.e., the impurity spectral function, assuming that this lDOS changes only weakly at low temperatures Tmax(TK,|Δεexch|)T\lesssim\mathrm{max}(T_{\mathrm{K}},|\Delta\varepsilon_{\rm exch}|). The linear-response conductance G=ΣσGσG=\Sigma_{\sigma}G_{\sigma} is obtained from the spectral function using Gσ(T)=πe2hDD𝑑ωΓσAσ(ω)[f(ω)]G_{\sigma}(T)=\frac{\pi e^{2}}{h}\int_{-D}^{D}d\omega\,\Gamma_{\sigma}A_{\sigma}(\omega)[-f^{\prime}(\omega)] [33], where Aσ(ω)=1πImGσ(ω)A_{\sigma}(\omega)=-\frac{1}{\pi}\mathrm{Im}\,G_{\sigma}(\omega) is the spin-resolved spectral function based on the retarded impurity Green’s function Gσ(ω)G_{\sigma}(\omega), and f(ω)f^{\prime}(\omega) is the derivative of the Fermi function at temperature TT. Now if the exchange field due to polarization is sufficiently strong, |Δεexch|TK|\Delta\varepsilon_{\rm exch}|\gtrsim T_{\mathrm{K}}, this will already split the spin-averaged lDOS at equilibrium, as shown for p=0.2p=0.2 in Fig. 7. When temperature is increased, the transport window widens, and thus encompasses more weight from the split peaks. Assuming that the lDOS only changes weakly by turning on a small temperature Tmax(TK,|Δεexch|)T\lesssim\mathrm{max}(T_{\mathrm{K}},|\Delta\varepsilon_{\rm exch}|), the contributions from the peak in the spectral function around ω|Δεexch|\omega\approx|\Delta\varepsilon_{\rm exch}| will therefore increase the linear-response conductance up to T|Δεexch|T\lesssim|\Delta\varepsilon_{\rm exch}|, where it reaches a maximum before it starts to decrease.

An explicit temperature dependence of the split-Kondo peak conductance for a few selected values of spin polarization is shown in Fig. 8. This figure is determined at finite bias voltage V(p)|Δεexchp|V(p)\approx|\Delta\varepsilon_{\rm exch}^{p}|, i.e. at the voltage corresponding to the location of the split Kondo peak VpeakV_{\mathrm{peak}} shown in Fig. 4. As seen by the vertical markers in Fig. 8, VV agrees well with |Δεexch||\Delta\varepsilon_{\rm exch}| for large polarization pp, but clearly starts to differ for smaller pp, given that there is no peak at finite VV for p0.0834p\lesssim 0.0834. By starting from the peak conductance, one can now clearly see in Fig. 8 the decrease of the remaining side Kondo resonance as the temperature increases. The logarithmic decrease in the split-Kondo peak conductance at higher temperatures has been experimentally observed in the Fig. 3a of Ref.[9]. In the case of p=0.1p=0.1, the split Kondo peak just emerged, having Δεexchp=0.1TK\Delta\varepsilon_{\rm exch}^{p=0.1}\approx T_{\mathrm{K}}, as can be observed from Fig. 4 and the vertical blue lines in Fig. 8. Hence, we can see a slight non-monotonic behavior arising from the interplay between the Kondo effect and the exchange field. More generally, one can infer from Figs. 6 and 8, for the split-Kondo regime, i.e., sufficiently strong polarization pp with |Δεexch|>TK|\Delta\varepsilon_{\rm exch}|>T_{\mathrm{K}}, that GVG_{V} vs. TT [GTG_{T} vs. VV] will exhibit a non-monotonic behavior if T<|Δεexch|T<|\Delta\varepsilon_{\rm exch}| [V<|Δεexch|V<|\Delta\varepsilon_{\rm exch}|], yet a monotonic decay if T|Δεexch|T\gtrsim|\Delta\varepsilon_{\rm exch}| [or V|Δεexch|V\gtrsim|\Delta\varepsilon_{\rm exch}|], respectively. We also note that the temperature dependence of the non-equilibrium differential conductance at V|Δεexch|V\approx|\Delta\varepsilon_{\rm exch}| does not show a universal dependence. This can be understood by realizing that the system is then out of the Kondo regime.

IV Summary

In this paper we have studied the non-equilibrium spin-resolved transport through a quantum dot coupled to ferromagnetic leads, while treating the correlations exactly. When the dot level is at the particle-hole symmetry point, we have shown that the Kondo resonance can be observed for any value of spin polarization pp, but the Kondo energy scale in the bias potential VKV_{\mathrm{K}} reduces with increasing spin polarization. However, when the dot level is detuned out of the particle-hole symmetry point, we have observed the emergence of an exchange field Δεexch\Delta\varepsilon_{\rm exch} in the system, which splits the zero-bias conductance peak when it is comparable or larger than the Kondo energy scale. A finite value of magnetic field BΔεexchB\approx\Delta\varepsilon_{\rm exch} was able to restore the Kondo resonance in such system. Moreover, we have determined the temperature dependence of the split Kondo peak and showed that the character of this dependence depends on the ratio of exchange field to the Kondo energy scale. Our work provides benchmark results for the nonequilibrium spintronic transport through quantum impurity systems in the presence of ferromagnetic leads.

Acknowledgements.
This work was supported by the Polish National Science Centre from funds awarded through the decision Nos. 2017/27/B/ST3/00621 and 2021/41/N/ST3/02098. We would also like to acknowledge the support by the project “Initiative of Excellence - Research University” from funds awarded through Decision no: 003/13/UAM/0016. AW was supported by the U.S. Department of Energy (DOE) Office of Basic Energy Sciences (BES), Materials Sciences and Engineering Devision.

Appendix A The hybrid NRG-tDMRG thermofield quench approach

This appendix provides more details on the hybrid NRG-tDMRG thermofield quench method [29] used to calculate the spin-resolved transport properties of the system in non-equilibrium settings.

A.1 Thermofield treatment of the leads

To describe the leads we use the thermofield approach [34, 35, 30], in which an auxiliary Hilbert space, equivalent to the lead Hilbert space, but decoupled from the system, is introduced to the lead Hamiltonian, effectively doubling the Hilbert space. This allows us to simplify the computational problem, since the decoupled modes of thermal leads can be expressed as simple product states. More importantly, thermofield approach enables the description of the thermal states as pure states, which can be then time-evolved within the matrix product state framework.

A pure state |Ω|\Omega\rangle is defined on this enlarged space such that the thermal expectation value of an observable AA in the original physical Hilbert space can be obtained from the enlarged space using A=Ω|A|Ω\langle A\rangle=\langle\Omega|A|\Omega\rangle, where the state |Ω|\Omega\rangle is defined as

|Ω=q(1fq|0,1q+fq|1,0q).|\Omega\rangle=\prod_{q}(\sqrt{1-f_{q}}|0,1\rangle_{q}+\sqrt{f_{q}}|1,0\rangle_{q}). (11)

Here, the composite index corresponds to q{α,k,σ}q\equiv\{\alpha,k,\sigma\}, fqfα(εαkσ)f_{q}\equiv f_{\alpha}(\varepsilon_{\alpha k\sigma}), and the Fock states, |0,1q|0,1\rangle_{q} and |1,0q|1,0\rangle_{q}, which act as the basis for the new Hilbert space, are defined as, cq1|0,1q=cq2|0,1q=cq1|1,0q=cq2|1,0q=0c_{q1}|0,1\rangle_{q}=c^{\dagger}_{q2}|0,1\rangle_{q}=c^{\dagger}_{q1}|1,0\rangle_{q}=c_{q2}|1,0\rangle_{q}=0. We define the modes c~qj\tilde{c}_{qj} in a rotated basis such that, |0~,1~q=1fq|0,1q+fq|1,0q|\tilde{0},\tilde{1}\rangle_{q}=\sqrt{1-f_{q}}|0,1\rangle_{q}+\sqrt{f_{q}}|1,0\rangle_{q}, using the transformation,

(c~q1c~q2)=(1fqfqfq1fq)(cq1cq2).\begin{pmatrix}\tilde{c}_{q1}\\ \tilde{c}_{q2}\end{pmatrix}=\begin{pmatrix}\sqrt{1-f_{q}}&\sqrt{f_{q}}\\ \sqrt{f_{q}}&\sqrt{1-f_{q}}\end{pmatrix}\begin{pmatrix}c_{q1}\\ c_{q2}\end{pmatrix}. (12)

With this transformation, the initial pure product state |Ω|\Omega\rangle is such that c~q1|0,1q=c~q2|0,1q=0\tilde{c}_{q1}|0,1\rangle_{q}=\tilde{c}^{\dagger}_{q2}|0,1\rangle_{q}=0, which essentially results in one set of modes (j=2j=2) to be fully occupied, while the rest (j=1j=1) is empty. The fully filled (empty) states in the new basis resemble the particle (hole) description of the lead Hamiltonian. The particles and holes will be recombined later for the NRG part of the calculations but treated separately for the tDMRG time evolution as described later.

A.2 The hybrid NRG-tDMRG time evolution

The hybrid NRG-tDMRG approach we employ combines the strong assets of both NRG and DMRG, namely, the ability of NRG to resolve logarithmic energy scales and the ability of DMRG to describe nonequilibrium situations at energy scales close to the bandwidth. One fundamental difference between the both methods is that while NRG is fundamentally based on logarithmic discretization, DMRG studies have found incredible success based on a linear discretization of the lead energy continuum. The energy scales that distinguish the regimes of implementation of these methods are denoted by the transport window (TW), which is determined by a difference in the electrochemical potentials of the leads, fL(ω)fR(ω)f_{L}(\omega)\neq f_{R}(\omega). Assuming that the lead levels far from the TW are essentially in equilibrium, we implement a logarithmic discretization scheme outside the transport window in order to later treat them with the aid of the NRG. On the other hand, the energies inside the TW are discretized linearly to be compatible with the DMRG formalism. The discretized energy intervals are denoted by EkE_{k} and defined as,

Ek(x)={δx,forxD/δδsinh(ln(Λ)(xDδ))log(Λ)δD,forx±D/δ,E_{k}(x)=\begin{cases}\delta\cdot x,&\text{for}\mid x\mid\leq D^{*}/\delta\\ \frac{\delta\cdot\text{sinh}(\text{ln}(\Lambda)(x\mp\frac{D^{*}}{\delta}))}{\text{log}(\Lambda)}\mp\delta\cdot D^{*},&\text{for}\ x\lessgtr\pm D^{*}/\delta,\end{cases}

where δ\delta and Λ\Lambda are the linear and logarithmic discretization parameters, respectively. The energy levels outside the TW are treated using the numerical renormalization group method, giving rise to a renormalized impurity (RI) with a reduced effective bandwidth 2D2D^{*}. As a result of the thermofield transformation in the linear sector, the system can be effectively described as renormalized impurity coupled to two chains, corresponding to the tridiagonalized chains of the particle and hole modes.

The Hamiltonians, HleadH_{\text{lead}} and HhybH_{\text{hyb}}, transform according to the aforementioned rotation as,

lead=Hlead+Haux\displaystyle\mathcal{H}_{\text{lead}}=H_{\text{lead}}+H_{\text{aux}} =\displaystyle= qjεqcqjcqj=qjεqc~qjc~qj,\displaystyle\sum_{qj}\varepsilon_{q}c^{\dagger}_{qj}c_{qj}=\sum_{qj}\varepsilon_{q}\tilde{c}^{\dagger}_{qj}\tilde{c}_{qj},
Hhyb\displaystyle H_{\text{hyb}} =\displaystyle= qj(v~qjdσc~qj+H.c.),\displaystyle\sum_{qj}(\tilde{v}_{qj}d^{\dagger}_{\sigma}\tilde{c}_{qj}+\text{H.c.}), (13)

where j{1,2}j\in\{1,2\} and the transformed couplings v~q1=vq1fq{\tilde{v}_{q1}=v_{q}\sqrt{1-f_{q}}} and v~q2=vqfq{\tilde{v}_{q2}=v_{q}\sqrt{f_{q}}}. After the transformation, we recombine the particles and holes in the logarithmically discretized regime through another tridiagonalization in order to apply NRG. Furthermore, we recombine the transformed left and right lead modes so that one set of modes decouples from the system, as is common in the case of equilibrium NRG studies [27].

We perform a second order Trotter time evolution on the initial state of the system, |ψini=|ϕini|Ω|\psi_{\text{ini}}\rangle=|\phi_{\text{ini}}\rangle\otimes|\Omega\rangle, during which the coupling between the linear and logarithmic sectors is switched on over a finite time interval. Here, |ϕini|\phi_{\text{ini}}\rangle is the initial state of the RI and |Ω|\Omega\rangle is the pure product state of the linear sector. We calculate the symmetrized current

J=JLJR\displaystyle J=J_{L}-J_{R} (14)

at each time step of the system’s evolution, where JLJ_{L} (JRJ_{R}) is defined as the current flowing from the left (right) lead to the impurity and Jα=σJασJ_{\alpha}=\sum_{\sigma}J_{\alpha\sigma}. The system is time-evolved until the relevant observables start to fluctuate around a mean value and a nonequilibrium steady state is reached. We evaluate our main quantity of interest—the current—as the mean of the symmetrized current over a finite time interval where the system shows steady state behavior. The averaging time window is chosen by scanning through the current dynamics to find the one with least error around the mean value. The corresponding differential conductance G=dJ(V)/dVG=dJ(V)/dV is calculated from the mean symmetrized current. Both NRG and tDMRG calculations are implemented in the matrix product state framework [36]. In calculations we assume Λ=2.5\Lambda=2.5 and δ=0.0625D\delta=0.0625D^{*}.

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