Abstract
We investigate symmetry-resolved entanglement in out-of-equilibrium fermionic systems subject to gain and loss dissipation, which preserves the block-diagonal structure of the reduced density matrix. We derive a hydrodynamic description of the dynamics of several entanglement-related quantities, such as the symmetry-resolved von Neumann entropy and the charge-imbalance-resolved fermionic negativity. We show that all these quantities admit a hydrodynamic description in terms of entangled quasiparticles. While the entropy is dominated by dissipative processes, the resolved negativity is sensitive to the presence of entangled quasiparticles, and it shows the typical 'rise and fall' dynamics. Our results hold in the weak-dissipative hydrodynamic limit of large intervals, long times and weak dissipation rates.
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1. Introduction
The study of entanglement dynamics is of fundamental importance to the understanding of the process of thermalisation, or the lack thereof, in out-of-equilibrium quantum many-body systems [1–5]. In one-dimensional integrable systems, the entanglement dynamics after a quantum quench is amenable to a hydrodynamic description within the framework of the quasiparticle picture [6–12]. Specifically, the entanglement dynamics is determined by the ballistic propagation of entangled pairs of quasiparticles. Importantly, recent progress with cold-atom and trapped-ion systems allows us to experimentally measure entanglement-related quantities [13–16] and their dynamics.
The starting point for all entanglement-related quantities is the reduced density matrix ρA of a subsystem A. For example, the entanglement Rényi entropies are defined as
The limit n → 1 gives the von Neumann entropy as
The Rényi entropies and the von Neumann entropy are proper entanglement measures for bipartite pure states only. If the system is in a bipartite mixed state, neither the von Neumann entropy nor the mutual information are bona fide entanglement measures. In these situations, for fermionic systems, one can use the logarithmic negativity or the fermionic logarithmic negativity (see section 4 for precise definitions).
Recently, there has been growing interest in the interplay between symmetries and entanglement. Specifically, if the system possesses a global symmetry, for instance, particle number conservation, the reduced density matrix exhibits a block structure, each block corresponding to a different symmetry sector [17–19]. The question of how the different symmetry sectors contribute to the entanglement entropies has attracted a lot of attention, theoretically and experimentally [14, 20–22]. On the theoretical side, several works focus on the symmetry-resolved entropies, especially in field theory [18, 19, 23–45] and spin chains, both at equilibrium [46–65], and in out-of-equilibrium situations [67–74]. For mixed states, it was proven that, whenever there is a conserved extensive charge, the negativity admits a resolution in terms of the charge imbalance between the two subsystems (see section 4.2 for a rigorous definition) [75]. The negativity in each imbalance sector, dubbed charge-imbalance-resolved negativity, has been investigated at equilibrium [75–77], and also its out-of-equilibrium dynamics was addressed [78–80]. Remarkably, the resolved negativity can be accessed experimentally [20, 21].
Most of the effort so far focusses on closed quantum many-body systems. Since in generic systems the interaction with an environment is unavoidable, it is crucial to understand the behaviour of entanglement and symmetry-resolved entanglement in out-of-equilibrium open quantum many-body systems. This is, in general, a challenging task, and results are available only in few situations, for instance, within the simplified framework of the Lindblad master equations [81]. For quadratic Lindblad master equations, i.e. for free-fermion and free-boson models with linear Lindblad operators, the out-of-equilibrium dynamics of the Rényi entropies, and all of the mutual information, can be understood within the quasiparticle picture [82–85]. This result holds in the weak-dissipative hydrodynamic limit of long times and large subsystems, and weak dissipation. Moreover, some results are available for the fermionic logarithmic negativity as well. For instance, the dynamics of the negativity in free-fermion systems subject to gain and loss dissipation was investigated in [86]. Interestingly, due to the mixed nature of the global state, the negativity is not related to the Rényi mutual information, in contrast with the unitary case [87]. The dynamics of both the von Neumann entropy and the negativity in the presence of localised losses has been studied recently [88, 89]. Relatedly, it has been shown that in free-fermion models in contact with localised thermal baths, which are treated within the Lindblad formalism, the mutual information exhibits a logarithmic scaling [90]. Finally, symmetry-resolved entanglement in open quantum many-body systems has received comparatively little attention, although some numerical and perturbative results are available [21].
Here we build a quasiparticle picture for several symmetry-resolved entanglement measures in free fermions subject to gain and loss dissipation. Such dissipation violates the particle number conservation, i.e. the U(1) symmetry. However, as we discuss below, the local Lindblad jump operators, which define the dissipative mechanism, preserve the block-diagonal structure of the reduced density matrix. We can refer to this scenario as a weak U(1) symmetry [21, 91–95]. Specifically, we provide analytic results for both the symmetry-resolved von Neumann entropy, and the charge-imbalance-resolved fermionic negativity. Similar to the nonresolved von Neumann entropy, the symmetry-resolved one is dominated by volume-law terms, which originate from dissipation. These are accompanied by terms that retain information about entangled quasiparticles. Precisely, these terms have the same structure as in the nondissipative case. However, the entanglement content of the correlated quasiparticles is renormalised by the dissipative processes, and it vanishes exponentially at long times, reflecting how dissipation destroys genuine quantum correlation. While the entropies are dominated by dissipative contributions, we show that the fermionic charge-imbalance-resolved negativity is determined by the entangled quasiparticles. Indeed, the resolved negativity exhibits the typical 'rise and fall' dynamics, i.e. it grows at short times , with the dissipation rates, and it vanishes at long times. Interestingly, for generic gain/loss processes the symmetry-resolved entropies do not exhibit a time delay, meaning that they are different from zero for any t > 0, as already numerically observed in [21]. This reflects the fact that different charge sectors are immediately 'populated' due to the presence of the dissipation. This represents a crucial difference with respect to the case without dissipation [68].
The manuscript is organised as follows. In section 2 we review quantum quenches in free-fermion models without dissipation. In section 3 we introduce the dissipation and its treatment within the framework of the Lindblad master equation. In section 4 we introduce the symmetry-resolved von Neumann entropy and the resolved negativity, discussing also their calculation in free-fermion models. Section 5 is devoted to the presentation of our main results. Specifically, in section 5.1 we discuss the charged moments of the reduced density matrix, which are essential ingredients to compute the symmetry-resolved entropy. In section 5.2 we discuss how to obtain the symmetry-resolved entropy and several useful approximations. In section 6 we present our results for the charge-imbalance-resolved negativity. In particular, we discuss the charged moments of the partial TR reduced density matrix, and the resolved negativity. In section 7 we provide numerical benchmarks. Specifically, in sections 7.1 and 7.2 we discuss the charged moments and the symmetry-resolved entropies, respectively. In section 7.3 we address the validity of the quadratic approximation for the charged moments. Finally, in section 7.4 we discuss the scaling in the weak-dissipative hydrodynamic limit. In particular, we highlight the presence of logarithmic corrections, which arise from the charge fluctuations between the subsystem and the rest. These are revealed in the scaling of the number entropy. In section 7.5 we benchmark our results for the resolved negativity. We present our conclusions in section 8.
2. Quantum quenches in free-fermion models
We consider the fermionic chain defined by the Hamiltonian
with periodic boundary condition . Here, L is the chain size, and cj are canonical fermionic creation and annihilation operators with anticommutation relations and . The Hamiltonian (3) is diagonalised by going to Fourier space defining the fermionic operators , with the quasimomentum and . The Hamiltonian (3) becomes diagonal as
Here we define the single-particle energy levels . In the following, we consider the thermodynamic limit . For later convenience, we define the group velocity of the fermionic excitations v(k) as
We focus on the nonequilibrium dynamics after the quench from the fermionic Néel state and Majumdar–Ghosh (dimer) state , defined as
with the fermionic vacuum state.
Let us now discuss the quench protocol. At time t = 0 we prepare the system in or . At t > 0 the chain undergoes unitary dynamics under the Hamiltonian (3). The fermionic correlation function is the central object to address entanglement related quantities in free-fermion systems [96]. The matrix is defined as
Here denotes the expectation value calculated with the time-dependent wavefunction. The dynamics of the correlation function (cf (8)) after the quench from both the Néel state and the Majumdar–Ghosh state can be derived analytically (see for instance, [79]). For the Néel state it is straightforward to obtain
where is the Bessel function of the first kind. In (9) it is stressed that the dynamics is unitary.
It is useful to exploit the invariance of the Néel state and the Majumdar–Ghosh state under translation by two sites. Thus, we rewrite (8) as
where now label the position of a two-site unit cell and is a two-by-two matrix. The factor 2 in the exponent in the integral in (10) reflects translation invariance by two sites. From (9), one obtains the matrix for the Néel state as
For the Majumdar–Ghosh state we use given by [68, 97]
with
where is given in (4).
3. Lindblad evolution in the presence of gain and loss dissipation
Let us now discuss the out-of-equilibrium dynamics in the tight-binding chain (cf (3)) with fermionic gain and loss processes. To describe these dissipative processes, we employ the formalism of quantum master equations [81]. The Lindblad equation precisely describes the time-dependent density matrix ρt of the full system as
Here, is the anticommutator. The dissipation is modelled by , which are known as Lindblad jump operators. For gain and loss processes they are defined as and , with the gain and loss rates. As is clear from equation (15), the incoherent absorption and emission of fermions happen independently at each site of the chain. This choice of jump operators, , falls into the category of weak symmetries, i.e. the generator of the master equation as a whole commutes with the symmetry operation, while each of the jump operators does not commute individually with the symmetry [91]. Their main feature is that they preserve the block-diagonal form of the reduced density matrix. Indeed, if the system is prepared in an initial symmetric state (like or ), the system state remains supported in the same symmetric eigenspace (with a given charge) when no jumps take place. On the other hand, when the first jump occurs at time t1, the system is transformed to another eigenspace with different charge. If we interpret equation (15) as a set of quantum trajectories, each one corresponding to the solution of a stochastic Schrödinger equation, the quantum trajectories are symmetric at all times: a single quantum jump only changes the number of particles by an integer number, but the total number of particles is conserved along each trajectory [94].
For quadratic fermionic Hamiltonians, it is straightforward to obtain from (15) the dynamics of the fermionic two-point function . Indeed, C(t) is given by [83]
Here , where for the tight-binding chain we have . In (16), are L × L matrices defined as . Since are diagonal, Cjl can be rewritten in terms of the correlation matrix describing the dynamics in the absence of dissipation, i.e. with (cf (8)). Precisely, one has
where is the identity matrix element. Moreover, equation (17) suggests that it is convenient to modify the matrix (cf (10)) defining as
where is the identity matrix, and is the original matrix defined in (10). The correlator Cjl is then obtained as
4. Symmetry-resolved entanglement
In this section, we overview the definitions of our quantities of interest, namely the symmetry-resolved entanglement entropies and the charge-imbalance-resolved negativity. We focus on quantum systems with an internal U(1) symmetry generated by a local operator Q. For the tight-binding chain in (3) this corresponds to the conservation of the number of fermions. If the density matrix is , where is an eigenstate of Q, this implies that . If the system is bipartite in two complementary subsystems A and B, since the operator Q is sum of local terms, Q is decomposed as the sum of operators acting separately on the degrees of freedom of A and B, i.e. . By taking the trace over B in we obtain that , implying that the reduced density matrix ρA is block diagonal. The different blocks correspond to a different charge sector with eigenvalue q of QA . We have
where projects over the eigenspace with eigenvalue q and we define as the probability of finding q as an outcome of the measurement of QA . Here, we normalise such that . In the following section we introduce several entanglement-related quantities that can be defined from . This allows to understand how the different charge sectors of the reduced density matrix contribute to the entanglement. We stress again that this block-diagonal structure of ρA is preserved by the dissipative evolution in equation (15) within our choice of [21, 91, 93].
4.1. Symmetry-resolved entropies
Let us introduce the symmetry-resolved Rényi and von Neumann entropies. The latter is the entropy calculated from the different charge sectors of the reduced density matrix as
where, again, is the normalised block of ρA corresponding to the charge q. To proceed, we plug equation (20) into the definition of the von Neumann entropy, to obtain the decomposition as
where p(q) is the probability of measuring charge q in the subsystem. The first term in (22) quantifies the average of the von Neumann entropy of each charge sector, and it is called configurational entropy [14, 48, 50]. On the other hand, measures the charge fluctuations between subsystem A and its complement, and it is called number entropy [14, 59–62].
Notice that from one can define the symmetry-resolved Rényi entropies [46] as
Here, however, we only consider the von Neumann entropy.
We now discuss how to compute the symmetry-resolved entropy. In general, its computation, for instance, in a field-theory setup, requires the spectrum of the symmetry-resolved reduced density matrix. This is challenging to extract because the projector is a nonlocal operator. Here we follow a different strategy, which was put forward in reference [18, 19] and which we now outline. The central objects of this approach are the charged moments, . They are defined as
By performing the Fourier transform of the charged moments, we get the moments of the reduced density matrix in a given charge sector, i.e.
where , again, is the projector, which selects the block of the reduced density matrix that corresponds to value of the charge q. The symmetry-resolved Rényi entropies with Rényi index r are defined as
where the symmetry-resolved von Neumann entropy S1 is obtained as usual by taking the limit r → 1 of Sr . Finally, for the free-fermion Hamiltonian (3) one can write the charged moments in terms of the two-point fermionic correlation function as [18]
where CA (cf equation (8)) is the fermionic correlation matrix restricted to part A of the chain.
4.2. Charge-imbalance-resolved fermionic negativity
Let us now consider the logarithmic negativity. We start by reviewing the definition of the partial transpose and its relation to the time-reversal transformation. Let us consider a density matrix ρA in which A is further partitioned as (see figure 1), where A1 (A2) is an interval of length (). We can write
where and are orthonormal bases for the Hilbert spaces of A1 and A2, respectively. The partial transpose of ρA with respect to A1 is defined as
The negativity is written in terms of the negative eigenvalues of , and it is essentially the trace norm of . In terms of its eigenvalues λi , the trace norm of can be rewritten as
where in the last equality we use the normalisation . The negativity is given by
and, as it is clear by its definition, in the absence of negative eigenvalues, and it vanishes. For a bosonic system, it is known [98] that the partial transpose is equivalent to the time-reversal partial transpose. This allows one to calculate the negativity in terms of the covariance matrix in bosonic systems, such as the harmonic chain [99].
For fermionic systems, the standard negativity is not easily computed in terms of the two-point correlation function, because the partial transpose is not a Gaussian operator [100, 101]. On the other hand, the fermionic negativity [102], which is defined from the TR partial transpose, can be computed. To introduce the fermionic TR partial transpose it is convenient to introduce Majorana fermion operators wj as
with cj the original fermions. The density matrix in the Majorana representation takes the form
Here, , , , and κ (τ) is a -component vector () with entries and with norm (). The constraint on the parity of is due to the fact that we require the density matrix to commute with the total fermion-number parity operator. In (33) are complex numbers. Using equation (33), the partial TR transpose with respect to the subsystem A1 is defined by
The matrix is not necessarily Hermitian, and may have complex eigenvalues, although . Still the eigenvalues of the operator are all real. Following references [102–104] we define the fermionic logarithmic negativity as
One can also define the (fermionic) Rényi logarithmic negativities with Rr given by
The negativity can be obtained as , where re denotes an even integer [102].
We can adapt the approach discussed in section 4.1 to the computation of the charged moments of the TR
A Fourier transform allows us to derive the moments of the TR partial transpose as
from which we define the ratios and the charge-imbalance-resolved negativity as
Let us stress that the replica limit for requires an analytic continuation from the even sequences , whereas in the denominator we can set r → 1.
Let us now discuss how to compute the charged moments in free-fermion systems. The covariance matrix Γ is the central object to compute the charged moments and the symmetry-resolved negativity. Γ is defined as
where is the identity matrix restricted to subsystem , and Cjl is the fermionic correlation matrix (17). If the subsystem A is made of two intervals as (see figure 1), we can decompose Γ as
where Γ11 and Γ22 are the reduced covariance matrices of the two subsystems A1 and A2, respectively, while Γ12 and Γ21 contain the cross correlations between them. By simple Gaussian states manipulations, the covariance matrices associated with and (cf (34) for their definitions) are obtained as
Here we are interested in defined as
where r is an even integer. We also consider defined as
To proceed we need the covariance matrix associated with the normalised composite density operator . This is given as [79]
where the normalisation factor is .
To proceed, let us define the charged Rényi negativities (for even r) as
where are defined in (43) and we have set . Here CA is the restricted fermionic correlation matrix, i.e. Cjl with . Now, equation (46) can be rewritten as
where are eigenvalues of the matrices (45), and ζj are the eigenvalues of the fermion correlation matrix CA introduced in the section 2. The charged negativity is defined as
Finally, let us observe that is written in terms of the eigenvalues of (42)
The strategy to compute the charge-imbalance-resolved negativity is to perform the Fourier transform of the quasiparticle prediction for and .
5. Quasiparticle picture for symmetry-resolved entropies
In this section we derive the quasiparticle picture for the symmetry-resolved entropies. In section 5.1 we focus on the charged moments of the reduced density matrix, whereas in section 5.2 we present our results for the symmetry-resolved von Neumann entropy. In section 5.2 we also discuss some useful approximations that are needed to derive analytically the behaviour of the resolved entropies.
5.1. Charged moments of the reduced density matrix
Here we discuss the quasiparticle picture for the charged moments (27) for the quench from the Néel state (6) and dimer state (7). We consider the weakly dissipative hydrodynamic limit, which corresponds to , , at fixed and arbitrary and , with the length of the subsystem A.
Since we are interested in the dynamics of Gaussian states, the system is fully characterised at any time after the quench by its two-point correlation functions. In the absence of pairing terms like or cc in the Hamiltonian at time t = 0, the relevant covariance matrix is Cjl (cf (17)). Again, the correlation matrix in the presence of gain/loss dissipation is simply related to the dynamical correlation function (cf (10)) for the quench without dissipation. To determine the quasiparticle picture for the charged moments, it is convenient to employ the representation of the fermionic correlator in (19) and (10), (11). To proceed, we formally expand (27) as
where CA is Cjl (cf (17)) with , and the coefficients zj are the coefficients of the Taylor expansion of around x = 0.
By following the same steps as [86], we can find the quasiparticle picture for the charged moments. Specifically, we first consider the expansion (50). Thus, the problem is reduced to that of determining the hydrodynamic behaviour of for arbitrary j. This last step can be performed by using the multidimensional version of the stationary phase approximation [105]. By closely following the same steps as in [86], we obtain for both the quench from the Néel state and the dimer state that
where , i.e. the same group velocity of the fermions in the non-dissipative case. In (51) we introduced the two contributions and defined as
Here the function is defined as
The term (52) is of purely dissipative origin and it vanishes in the limit . Precisely, corresponds to the charged moments obtained from (27) by replacing CA with the full-system correlator. Notice that in (52) the trace is over the two-by-two matrix (cf (18)). The term in (51) is a 'quantum' one, meaning that it is determined by both the dissipative and the unitary part of the evolution (15). In the limit this term gives the result of the quasiparticle picture in the non dissipative case. Importantly, depends only on the fermion density . In the absence of dissipation does not depend on time, which is not the case at nonzero . For quenches in the tight-binding chain in the presence of gain/loss dissipation the time-evolved density is obtained as [83]
Here we have
As is clear from (56), for the quench from the Néel state and the dimer state and do not depend on the quasimomentum k. This simplification holds for the gain/loss dissipation but it is not expected for the generic linear dissipation [83, 84]. In (55), is the density of fermionic quasiparticles that fully characterises the generalised Gibbs ensemble (GGE) in the absence of dissipation. Specifically, is computed as . For the quench from the Néel and the dimer state, a straightforward calculation gives the densities and as
Finally, by using the explicit form of (cf (18)) for the Néel and the dimer quench, we obtain that is the same for both of them, and it reads as
Here n0 and n1 are given as
where and are given in (56). Notice that n0 is obtained from (55) by setting and n1 by fixing . This reflects that at t = 0 for both the Néel state and the dimer state half of the eigenvalues of the correlation matrix Cjl (cf (8)) are zero and half are one. They do not depend on time in the absence of dissipation. For gain/loss dissipation, the eigenvalues evolve independently according to (55). It is also interesting to observe that we can rewrite (51) as
From (60) it is clear that plays a twofold role. Specifically, gives a volume-law contribution (first term in (60)) which does not contain information about the dynamics of the quasiparticles. On the other hand, also appears with a minus sign in the second term in (60), which is the 'quantum' one because it is the only one surviving in the limit .
Let us now discuss some limits of . First, at t = 0, since and , one has that . For , one has that (cf (17)) and . This implies that the second term in (60) vanishes and finally one obtains .
5.2. Computing the symmetry-resolved entropies
To determine the quasiparticle picture for the symmetry-resolved entropies (cf (26)), one has to employ the quasiparticle picture for the charged moments in (25) and perform the Fourier transform. This is, in general, a challenging task, although closed-form expressions have been obtained in the nondissipative case [68]. Clearly, the Fourier transform in (25) can be performed numerically and we report the analytical predictions for the symmetry-resolved entropies in figure 2. However, this computation suffers from a numerical instability in solving the integral, and for this reason we omit the result for short time.
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Standard image High-resolution imageAnother strategy is to use a saddle point approximation. Indeed, in (25) one has to assume in order to have nontrivial results. We have
where we defined as
The saddle point condition for α reads as
Since the integration over k in (62) can be performed analytically, the resulting saddle point condition for can be effectively solved numerically. Moreover, analytic solutions of (62) are also possible, although the obtained expressions are cumbersome, and we do not report them. Instead, we now discuss some features of the solution .
In the absence of dissipation, is a complex number and the presence of a nonzero real part leads to a delay in the evolution of the symmetry-resolved entropies, i.e. the entropies start to be nonzero for , with td the delay time [68]. Specifically, for each value of the charge q in the quench from the Néel state we have that in the nondissipative situation is given as
Here we define
In the presence of gain and loss dissipation the delay effect is suppressed, as was already shown in [21].
For simplicity, we focus on a quench from the Néel state . First, the saddle point condition (63) has three solutions. By a standard saddle point analysis [105], we observe that the only physical solution describing the exact lattice computations are the ones with zero real part for any time t. In the limit (), i.e. pure loss or pure gain, we still find a delay time for (). Indeed, in this case the saddle point condition has two solutions and, at short times , the dominant solution of the saddle point condition gives a complex entropy which physically means that it averages to zero. As in the nondissipative case, one finds that the delay time is obtained by solving the equation
In figure 3 we report the behaviour of the symmetry-resolved entropy using the saddle point approximation in the presence of pure gain and we show that, for it displays a delay, which is also confirmed by the exact lattice computations.
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Standard image High-resolution imageHaving solved, for instance numerically, the saddle-point constraint (63), for is given as
where is the solution of (63) with .
Another useful strategy to gain insights into the symmetry-resolved entropies is to use a quadratic approximation, by expanding the charged moments around α = 0. One obtains
where
With this quadratic expansion, we can perform the Fourier transform in (25). We obtain
This approximation is valid only until is , or, in other words, for small fluctuations . Within this approximation, the corresponding symmetry-resolved entropies read
From equation (71), we can also predict the asymptotic value of the symmetry-resolved entropies for at leading order in . For a Néel state, we obtain
Now, equation (72) predicts a volume-law scaling , and a subleading logarithmic one . Importantly, equation (72) relies on the validity of the quadratic approximation (71).
It is also interesting to derive the number entropy (cf (22)) within the quadratic approximation. It is obtained from , and it is defined as
By using the quadratic approximation for (cf (70)), we obtain that
where we define as
In (74) n0 and n1 are the same as in (59), and ρt is given in (55) with for a Néel state. The change of variables gives
We anticipate that (76) correctly describes the exact value of the number entropy. In the large time limit, from (76) we find
We will provide numerical benchmarks of (77) in section 7.2.
6. Quasiparticle picture for the charge-imbalance resolved fermionic negativity
We now discuss the quasiparticle prediction for the charge-imbalance-resolved fermionic negativity. Here we focus on two intervals A1 and A2 embedded in an infinite chain. The two intervals are of the same length , and are at distance d (see figure 1). We first determine the scaling behaviour of the charged moments of the partial TR transpose (cf (43)) after the quench from the Néel state. Here we only consider the case of the Néel quench because this allows us to exploit the results of [86]. To derive the quasiparticle prediction for and we proceed as in section 5. To illustrate the idea, let us first consider the case of (cf (49)). The main simplification in the treatment of N1 is that it depends only on the eigenvalues of the matrix (cf (42)). We can write as
where the coefficients are obtained from
with r = 1. Here, are the matrices defined in (42). Now, to determine the quasiparticle prediction for one has to compute the hydrodynamic limit of for generic j. This has been computed in [86] and it reads
We also have
In (80) and (81), (cf (17)) and we defined a as
Here the functions Θ1 and Θ2 are defined as
One has at t = 0, and it decreases linearly up to . At longer times Θ1 is identically zero. On the other hand, Θ2 is zero for . At larger times Θ2 grows linearly with time, up to , where it reaches a maximum. Then, Θ2 exhibits a linear decrease up to . At longer times Θ2 is zero. The same function Θ2 describes the dynamics of the mutual information after quantum quenches without dissipation [87, 106]. By using (80) and (81) in (78), we obtain
Here we introduce as
To compute the charge-imbalance-resolved negativity, let us first consider the charged negativity as
where is defined in (43). The strategy, again, is to employ the results of [86]. Unlike the case in (85), to evaluate one has to obtain the behaviour of (cf (45)) for arbitrary r. These terms, however, can be obtained by using the results of [86]. The calculation is cumbersome and, since it is similar to [86], we do not report it. For even r, the result reads as
where one has to sum over the ± signs. The functions a and b are the same as in (82). In (88) the function is the same as in (79), whereas Θ1 and Θ2 are defined in (83) and (84). In (88) we defined the new function Θ3 as
Now, the first integral in (88) originates from the contribution of (see the first term in (47)), whereas the second one is due to the second term in (47). Notice that Θ3 is the same function describing the dynamics of the entropies of (see figure 1). The charged negativity is obtained by setting r = 1 in (88).
From the expression for the charged negativity (cf (88)) we obtain the charge-imbalance-resolved negativity by first deriving the moments of the TR partial transpose via the Fourier transform in (38). This step has to be performed numerically. Finally, the charge-imbalance-resolved negativity is obtained from (39).
Our theoretical results for are shown in figures 4 and 5 for two equal-length adjacent and disjoint intervals, respectively. For two adjacent intervals we plot the density of negativity versus . Our results hold in the weak-dissipative hydrodynamic limit. This corresponds to the usual hydrodynamic limit with their ratio fixed. We also consider the limit with fixed . Finally, we consider the weak dissipation limit with fixed . The charge-imbalance-resolved negativity exhibits a typical 'rise and fall' dynamics. This behaviour is observed also in the absence of dissipation [86]. However, the short-time dynamics is not linear, in contrast with the non dissipative case. For each value of in figure 4 we show results for and (continuous and dashed line, respectively). The dependence on , which could arise because of the Fourier tranform, is quite weak. Finally, we observe that at very short times suffers from numerical instability in the evaluation of the Fourier transform for this geometry, therefore we do not show the plot for short times. While it is likely that the presence of generic dissipation suppresses the time delay, as it happens for the entropies, clarifying this issue would require considerable numerical effort, and we leave it as an open problem. In figure 5 we consider two disjoint intervals at distance . The behaviour of is similar to the case of adjacent intervals, the only difference being that now the negativity is zero up to , with the maximum velocity in the system.
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Standard image High-resolution image7. Numerical benchmarks
In this section we provide numerical benchmarks for the results derived in sections 5 and 6. Precisely, in section 7.1 we discuss the charged moments, and in sections 7.2 and 7.3 we focus on the symmetry-resolved entropy. In section 7.4 we investigate the weak dissipative limit and logarithmic scaling corrections. In section 7.5 we consider the charge-imbalance-resolved negativity.
7.1. Charged moments
Let us start discussing the hydrodynamic limit of the charged moments (cf (27) for their definitions in the lattice model). We report numerical results for the charged moments in figures 6 and 7 for the quench from the Néel state and the Majumdar–Ghosh state, respectively. In the figures we show plotted versus . The results are for a finite interval of length embedded in the infinite chain. We show results for several values of the gain/loss rates (symbols in the figure). Importantly, although we are interested in the weak-dissipative limit in which with fixed, here we show results for finite . The continuous lines in the figures is the theoretical prediction (51). Notice that at t = 0 one has that
On the other hand, in the limit , one has that (51) reduces to
We should stress that since both and depend on time, one has to take the limits t = 0 and also within the integrand in (90) and (91). Now, as it is clear from figures 6 and 7, the agreement between the numerical data (symbols in the figures) and the quasiparticle picture is perfect, even away from the weak dissipation limit.
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Standard image High-resolution image7.2. Symmetry-resolved entropies
Having confirmed our theoretical results for the charged moments (51), we now consider the symmetry-resolved von Neumann entropy. As discussed in section 5.2, the strategy is to plug the quasiparticle prediction (51) for the charged moments in (25), then performing the Fourier transform numerically. In figure 8 we compare our analytic prediction against exact numerical data for the symmetry-resolved entropy. We show results for both the quench from the Néel state and the Majumdar–Ghosh state (left and right panel, respectively). We stress that the fact that the symmetry-resolved entropies are non-vanishing for t > 0 for any charge sector is due to the presence of dissipative terms: they suppress the delay and all the charge sectors are populated as soon as the state evolves, in contrast with what happens without dissipation [68] or in the presence of pure loss/gain.
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Standard image High-resolution image7.3. Quadratic approximation
Let us now discuss the regime of validity of the quadratic approximation discussed in section 5.2. This is obtained by expanding the charged moments (cf (27)) around α = 0. Then, one can perform the Fourier transform in (25) analytically. The result is reported in figure 8 (left) as dashed lines. Interestingly, the quadratic approximation works well for the case of balanced gain and loss dissipation, i.e. for . However, away from the case of balanced dissipation the quadratic approximation fails to describe the dynamics of the entropy.
The reason of this failure is understood by monitoring the behaviour of the charge probability distribution . We show results for p(q) in figure 9. The left and right panels in the figure are for the quench for the Néel and the Majumdar–Ghosh state, respectively, while top and bottom panels show results for and . As we can notice from the figure, the evolution of p(q) is affected by the gain/loss terms. The main difference is that while for (i.e. ), p(q) remains peaked around , for , since (cf (17)), as t increases, the peak of p(q) moves toward smaller and smaller values of q. Hence, since the symmetry resolved entropies in figure 8 are for fixed value of q, for we have that drifts as time passes to larger and larger values because of the drift of . Now the quadratic approximation is valid only in the neighbourhood of (i.e. for ). Working at fixed q, such condition breaks down unless , for which stays constant. This observation physically explains the failure of the quadratic approximation observed in figure 8. Moreover, from figure 8 it is clear that, for , there is only a tiny time window (corresponding to ) where the quadratic approximation is valid.
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Standard image High-resolution image7.4. Logarithmic scaling corrections and the number entropy
It is important to investigate explicitly the scaling behaviour in the weak-dissipative hydrodynamic limit. This is discussed in figure 10. We plot exact numerical data for the symmetry-resolved von Neumann entropy for at fixed and with fixed . Moreover, we also fix . Clearly, figure 10 shows that there are strong finite corrections. Indeed, in the weak-dissipative hydrodynamic limit all the data in figure 10 are expected to collapse on the same curve. Deviations from the expected behaviour can be attributed to the presence of logarithmic terms in . This is due to the fact that the result for the symmetry-resolved entropies should behave like (for )
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Standard image High-resolution imageThe logarithmic correction in (92) is captured already by the quadratic approximation (cf (72)). In the sum rule (22), this logarithmic term cancels with the number entropy and so it can be better understood by studying the latter which is shown in figure 11. The figure shows that at t = 0 the number entropy is zero, reflecting that the initial state is a product state. At later times the entropy grows, and it exhibits an exponential saturation at long times. The symbols in the figures are exact numerical data for , whereas the continuous line is the analytic result obtained by using the quasiparticle picture. The result is obtained by using (60) (see also (51)), performing the Fourier transform (25) numerically. The predictions of the quasiparticle picture are in perfect agreement with the lattice results, even away from the weak dissipative limit, i.e. for finite . In the figure we also show the long time limit (77) (horizontal line), as obtained from the quadratic approximation, which describes quite well the lattice results.
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Standard image High-resolution image7.5. Charge-imbalance-resolved negativity
We now numerically investigate the validity of our results for the fermionic negativity (see section 6). First, we consider the charged negativity defined in (87). In figure 12 we show exact numerical data for and (left and right panels, respectively) in the tight-binding chain with gain and loss of fermions. We consider the quench from the fermionic Néel state. Since we are interested in the weak-dissipative hydrodynamic limit, we plot versus . To reach the weak-dissipation limit we rescale the dissipation rates as . Specifically, we choose and . We show results for several values of α. The top panels are for two adjacent intervals, whereas the bottom ones are for two disjoint ones at . Our theoretical predictions are (85) and (88). Now, the symbols in figure 12 are exact numerical data for and . Our theoretical predictions are shown as continuous lines in the figure, and are in perfect agreement with the numerical data.
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Standard image High-resolution imageFinally, we discuss the charge-imbalance-resolved negativity . This is obtained by using (85) and (88) in (38), performing the Fourier transform numerically, and using (39). We show numerical results in figure 13. The top panels in the figure are for fixed and , and . The top-right panel shows results for two adjacent intervals, i.e. for d = 0, whereas the top-left one is for two disjoint intervals at . The continuous lines in the figures are the theoretical results obtained from the quasiparticle picture. The agreement between lattice results and hydrodynamic limit is perfect for two disjoint intervals. Deviations from the scaling limit are visible for two adjacent intervals (top-right panel in figure 13). These are due to the fact that our results are valid only in the weak-dissipative hydrodynamic limit. Similar corrections are observed in the absence of dissipation [87]. The right plot also clearly shows that there is no delay in the presence of dissipation, since is different from zero as soon as t > 0, at least for . The scaling behaviour for two adjacent intervals is better investigated in figure 13 in the bottom panel. We now show results in the limit with fixed. Moreover, we consider at fixed . Now, although for finite some deviations are present, upon increasing the numerical results approach the analytic predictions (lines in the figure).
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Standard image High-resolution image8. Conclusions
We investigate the effects of gain and loss dissipation in the dynamics of the symmetry-resolved entropies and charge-imbalance-resolved negativity after a quantum quench in the tight-binding chain. This choice of dissipative terms preserves the block-diagonal structure of the reduced density matrix, and it is therefore suitable for studying the symmetry resolution of entanglement in each charge sector. We derive quasiparticle picture formulas for the dynamics of charged moments of the reduced density matrix, the symmetry-resolved von Neumann entropy, and the charge-imbalance-resolved negativity. Our results hold in the hydrodynamic limit of large intervals and long times, with their ratio fixed. Moreover, to ensure a nontrivial scaling behaviour, we also consider weak dissipation. We show that while the symmetry-resolved entropies are dominated by dissipative processes, the resolved negativity exhibits the typical rise and fall dynamics, reflecting the fact that it is sensitive to entangled quasiparticles. Furthermore, we observe that the entropy does not exhibit a time delay (unless we consider a pure gain/loss evolution), contrary to what happens in the nondissipative case.
Let us now mention some possible directions for future research. First, it would be interesting to extend our results to other types of dissipation, for instance, for generic quadratic Lindblad master equations [83, 84]. While this is feasible for the symmetry-resolved entropies, it is a challenging task for the negativity. Indeed, even for the nonresolved negativity, only the case of free fermions with gain and loss dissipation has been investigated so far [86]. Clearly, it would be important to go beyond the case of quadratic Lindblad equations, considering more complicated dissipators, such as dephasing [107]. For instance, it would be interesting to employ recent results obtained for this dissipator in [108]. Finally, one could study the effects of dissipative terms which do not preserve the block-diagonal structure of the reduced density matrix and quantify how much the symmetry is broken in this setup by using the entanglement asymmetry studied in [72, 74]. Similarly, one could consider initial states that explicitly break the internal symmetry and study the evolution of the asymmetry subject to gain and loss.
Acknowledgments
We thank Gilles Parez and Vittorio Vitale for useful discussions. P C acknowledges support from ERC under Consolidator Grant Number 771536 (NEMO). S M thanks support from Caltech Institute for Quantum Information and Matter and the Walter Burke Institute for Theoretical Physics at Caltech.