Non-stationary coherent quantum many-body dynamics through dissipation

Non-stationary coherent quantum many-body dynamics through dissipation

Non-stationary coherent quantum many-body dynamics through dissipation

Nature Communicationsvolume

 10, Article number: 1730 (2019) | Download Citation

Abstract

The assumption that quantum systems relax to a stationary state in the long-time limit underpins statistical physics and much of our intuitive understanding of scientific phenomena. For isolated systems this follows from the eigenstate thermalization hypothesis. When an environment is present the expectation is that all of phase space is explored, eventually leading to stationarity. Notable exceptions are decoherence-free subspaces that have important implications for quantum technologies and have so far only been studied for systems with a few degrees of freedom. Here we identify simple and generic conditions for dissipation to prevent a quantum many-body system from ever reaching a stationary state. We go beyond dissipative quantum state engineering approaches towards controllable long-time non-stationarity typically associated with macroscopic complex systems. This coherent and oscillatory evolution constitutes a dissipative version of a quantum time crystal. We discuss the possibility of engineering such complex dynamics with fermionic ultracold atoms in optical lattices.

Introduction

The eigenstate thermalization hypothesis1,2 (ETH) states that an isolated many-body quantum system with nonintegrable Hamiltonian relaxes locally to a stationary equilibrium ensemble. For generic initial states local observables are given by thermal expectation values after a sufficiently long evolution time t. A generalized ETH holds if the system is integrable or under the influence of weak integrability breaking1,2Equilibration occurs on relatively short timescales, typically within a few characteristic periods.

Perfect isolation is impossible in experiments and interactions with the environment will always provide additional relaxation mechanisms. The widely used—but notoriously difficult to prove—assumption of ergodicity states that even weak coupling to an environment enables the system to explore the entire connected nondecaying part of the system Hilbert space 

H as sketched in Fig. 1a. The evolution thus induces relaxation to a unique stationary state ρ∞ in the long-time limit.

Fig. 1

The Hilbert space 

H separated into a decaying part (black) and a nondecaying part (white). a Ergodic time evolution, indicated by a blue trajectory, explores the entire connected nondecaying space thus leading to stationarity of observables after a transient period. bDissipation may split the nondecaying part into disjoint sectors. The dark Hamiltonian ?

Hdrives transitions between them. Observables that are not entirely contained in one of these parts show continued oscillations and thus nonergodic behavior after a transient period

Full size image

In quantum technology platforms3 a microscopic understanding of the environmental coupling allows control of the open system dynamics ??

˙

(??)=??(??)

ρ˙(t)=Lρ(t) of the density operator ρ(t). The super-operator 

L can be engineered to possess a small number of controllable purely imaginary eigenvalues. The corresponding eigenstates are protected from the environment and form a decoherence-free subspace4,5 where quantum information can be processed without leaking into the environment. Controlled dissipation can also lead to many-body pure states that are stationary6,7,8.

The seemingly robust feature of relaxation to stationarity in quantum many-body systems presents a puzzle when contrasted with the emergence of nonstationary dynamics often observed in macroscopic systems9,10. Nonstationarity plays an important role in many areas ranging from microbiology11,12 and neurobiological systems9,13 across climate science14,15 to financial time series9,16. It remains almost unstudied in quantum statistical physics where research of nonequilibrium setups mostly concentrates on currents of time-independent quantities. The question thus arises whether generic insights into the microscopic origins of nonstationary and complex long-time evolution may be gleaned from the study of highly controlled and well understood experiments in the quantum regime.

Here, we show that coupling to an environment can induce nonstationarity in many-body quantum systems that would otherwise relax, through mutual dephasing of its eigenstates, according to the ETH. Symmetry-preserving dissipation eliminates a large class of eigenstates and ensures constructive interference. It splits the nondecaying part of the Hilbert space into disjoint sectors schematically shown in Fig. 1b. In the long-time limit a dark Hamiltonian coherently drives the system between these disjoint parts leading to nondecaying oscillations in observables that are not entirely contained in one sector. We will give general conditions guaranteeing this situation and study an example realizable in current experiments with ultracold atoms.

Results

Conditions for nonstationarity in a many-body system

Specifically, our starting point is the Lindblad master equation modeling a quantum system weakly coupled to an environment that acts as a source of noise. The main results presented here are also valid for open quantum systems beyond the Lindblad framework (see Supplementary Methods for details). The master equation is given by (setting ? = 1)

??

˙

(??)=????=???[??,??(??)]+∑

??

(2??

??

????

?

??

???

?

??

??

??

???????

?

??

??

??

),

ρ˙(t)=Lρ=?i[H,ρ(t)]+∑μ?(2LμρLμ??Lμ?Lμρ?ρLμ?Lμ),

(1)

where the first term describes unitary evolution i??

˙

=[??,??(??)]=????(??)???(??)??

iρ˙=[H,ρ(t)]=Hρ(t)?ρ(t)H of an isolated system with Hamiltonian H and follows directly from the Schr?dinger equation. The second term contains the jump operators  arising from decoherence processes induced by the environment. Formally, the density operator will be nonstationary if the Liouvillian 

L has purely imaginary eigenvalues17,18,19??

??

=?i???

??

=?i??

??

??

??

Lρn=?iHρn=?iλnρn for eigenoperators ρn. Here, we have defined the dark Hamiltonian ?

H as the part of the evolution that is purely coherent.

The conceptually simplest situation where nonstationarity may occur is well understood for systems with few degrees of freedom18,19,20. All jump operators fulfill ??

??

|??

??

?=0

Lμ|?n?=0 for a subset of eigenstates |?n〉 with eigenvalues ωn of the Hamiltonian. These so-called dark states are perfectly decoupled from the environment and span a decoherence-free subspace4. Coherences between dark states evolve according to |??

??

????

??

=??(??

??

???

??

)|??

??

????

??

L|?n???m|=i(ωm?ωn)|?n???m| and undergo continued oscillations induced by the coherent part of the dynamics. The dark Hamiltonian ?

Hmay then be understood as a purge of unwanted eigenstates of the original Hamiltonian H. We give an example of a many-body dark Hamiltonian in the Supplementary Discussion.

A dark Hamiltonian is not required to be Hermitian and its eigenstates need not be pure. We concentrate on this more general and interesting case and show that it may lead to nonstationary and complex long-time dynamics. This case is realized if there exists an eigenoperator A such that (see Supplementary Methods for details)

[??,??]=????? and [??

??

,??]=[??

?

??

,??]=0 ???,

[H,A]=?λA and [Lμ,A]=[Lμ?,A]=0 ?μ,

(2)

with real valued λ. We find ??

????

=i(?????)????

????

Lρnm=i(m?n)λρnm for operators ??

????

=A

??

??

(??

?

)

??

ρnm=Anρ∞(A?)m and integer mn > 0. Here, ρ∞ is a stationary state with ??

=0

Lρ∞=0. The fact that A is an eigenoperator and not just a symmetry with [HA] = 0 is crucial and guarantees that the operators ρnm are not stationary for nm. We refer to these ρnm as mixed coherences because they describe oscillations induced by ?

H between, usually mixed, stationary states ρnm [see Fig. 1b]. In contrast to the coherences in a decoherence-free subspace they are not decoupled from the environment and are affected by dissipation ??

??

??

????

??

?

??

≠0

LμρnmLμ?≠0. All initial states that contain mixed coherences ρnm will continuously oscillate in the long-time limit. If only one operator A exists then the spectrum of the dark Hamiltonian is equidistant, like that of a harmonic oscillator. The equidistance of the spectrum ensures the long-time dynamics is periodic, with period 2π/λ and the system does not relax to stationarity.

Nonstationary dynamics in the open Hubbard Model

We study the emergence of nonstationarity in D-dimensional fermionic Hubbard models that possess spin and η-pairing symmetries (see Methods). This is a paradigmatic example that can be accurately realized in highly controllable quantum systems, such as optical lattices filled by ultracold spin 1/2 atoms21. The Hamiltonian is

??=???∑

???,??′?,??

??

?

??,??

??

??′,??

+??

?

??′,??

??

??,??

+∑

??

????

??,↑

??

??,↓

+??

??

??

??

+??

2


(??

??,↑

???

??,↓

),

H=?τ∑?j,j′?,s?cj,s?cj′,s+cj′,s?cj,s+∑j?Unj,↑nj,↓+?jnj+B2(nj,↑?nj,↓),

(3)

where jj′ denotes nearest-neighbor sites of a bipartite lattice with Msites and cjs is the annihilation operator for a fermion with spin s on site j. The particle number operator is ??

??,??

=??

?

??,??

??

??,??

nj,s=cj,s?cj,s and ??

??

=??

??,↑

+??

??,↓

nj=nj,↑+nj,↓. The hopping amplitude is τU denotes onsite interactions and ??

??

?j is a site dependent energy offset. In an optical lattice, the term ??

??

?j describes the trapping potential and/or spin-agnostic disorder, e.g., created through speckle patterns3,22. A constant external magnetic field splits different spin states by B via the Zeeman effect. We assume the coupling of the Hubbard lattice to the environment to take the form of local dephasing Lindblad operators ??

??

=??

??

??

??

Lj=γjnj. In optical lattices, this can be achieved e.g., through immersion into a Bose–Einstein condensate23 (see Supplementary Discussion for details).

The strong symmetries17,19,24 of this model determine its generalized grand-canonical-like equilibrium states as ??

∝exp(??

0

??+??

1

(??

+

??

?

)+??

2

??

z

)

ρ∞∝exp(β0N+β1(S+S?)+β2Sz), where N is the total number of particles and ??=(??

x

,??

y

,??

z

)

S=(Sx,Sy,Sz) the total spin (note that the stationary subspace is degenerate). The parameters βi play the role of generalized chemical potentials determined by the initial state. The operator S+fulfills the criteria of the eigenoperator A with λ = B and hence constructs a dark Hamiltonian ?

H (see Methods).

We study the system evolution starting from noncorrelated polarized initial states. In Fig. 2a we show the bulk-averaged fermion spin along the x-direction ????

x

??

(??)??

??Six(t)??. The long-time oscillation amplitude of spin–spin correlations ???

x

??

(??)??

x

??+??

(??)?

?Six(t)Si+jx(t)? for arbitrary i and j are shown in Fig. 2b. After a short-transient time these observables start oscillating with an amplitude quickly converging to a finite value with increasing M. Their spectrum is then narrowly centered around multiples of B as shown in Fig. 2c. This is in excellent agreement with the analytically expected purely sinusoidal evolution in the long-time limit. In Fig. 2d we compare traces of the spin dynamics in the xy-plane for different initial spin polarizations. All realizations (see Methods) of the stochastic dynamics are identical for the maximally polarized state, which thus behaves similarly to an isolated collection of noninteracting spins. However, realizations for nonmaximally polarized states possess fluctuations that increase with system size M. Only after averaging many realizations perfectly sinusoidal oscillations emerge following the initial transient. This evolution strongly violates ergodicity and is qualitatively different from the precession of independent spins.

Fig. 2

Dynamics of spin observables in the number-dephased Hubbard model following a quench. a The bulk-averaged fermion spin ????

??

??

(??)??

??Six(t)?? for various system sizes M. The evolution starts from the half-filled lattice state ????

??

??

??

1/3

??Six??1/3 without double-occupancies where every third fermion is polarized along ?x while all others are polarized along x. A long-time amplitude of 1/6 independent of is obtained analytically. b Amplitude of the oscillations of ???

??

??

(??)??

??

??+??

(??)?

?Six(t)Si+jx(t)? in the long-time limit for different M and arbitrary ij. The starting state is the maximally polarized quarter filled state with a fermion put on every second site. The magenta dashed curve shows the analytical result converging to 1/16 in the limit ??→∞

M→∞. c The spectra obtained from the dynamical evolution in a and b for times ??∈[20,100]/??

t∈[20,100]/τ are strongly peaked around multiples of B as expected in the long-time limit. d Traces of the polarization in the xy-plane starting from the maximally polarized starting state ????

??

??

??

1

??Six??1(blue curve) and from the state ????

??

??

??

1/3

??Six??1/3 (magenta curve) and M = 9. The solid lines are averages over 2000 trajectories (see Methods). The markers show values from a single realization and the shaded area indicates the range of typical fluctuations of a realization. All calculations were carried out for B = 0.8τU = τ and ??=0.4??


γ=0.4τ without disorder ??

??

=0

?j=0

Full size image

In Fig. 3a, we study a quench starting from the ground state of the Hubbard model. In the absence of dephasing, the combination of disorder and many-body thermalization quickly dampens out the dynamics, as shown in the inset of Fig. 3a. The closed system exhibits small fluctuations following revivals due to finite-size effects. Remarkably, in the presence of dephasing22,23 persistent spin oscillations with frequency B ensue after the quench. The strength of the system environment coupling solely determines the time for the transient dynamics to decay and coherent, oscillatory behavior appear in the measured observables. In Fig. 3b, we show that fundamentally quantum off-diagonal long-range order25 in the spin sector lim

??→∞

???

+

??

??

?

??

?≠0,?i,j

limn→∞?Si+Sj??≠0,?i,j is constructed by the dephasing dynamics even when starting from high-temperature thermal states of the Hubbard model.

Fig. 3

Time evolution of spin observables in both the open and closed Hubbard model during a quench. a Dynamics of ????

??

3

(??)??

??S3x(t)?? for the open and the closed system following a quench (the inset shows relaxation and the first revival of the finite-size closed system). The initial state is the Hubbard model ground state with N = 5 particles, M = 7 sites, ??=2

??

U=2τ, B = 0 and no disorder. At time t = 0 the system is quenched to U = τB = 0.8τ and disorder ??

??

∈[0.0,0.16]??

εj∈[0.0,0.16]τ. b Dynamics of ∣

???

+

1

(??)??

?

??

(??)?∣

|?S1+(t)Sn?(t)?| starting from a high-temperature thermal state ∝exp(?????)

∝exp?(?βH) with ??=0.2/??,??=??

β=0.2/τ,U=τ and B = 0.2τ of N = 4 fermions in M = 5 sites. The magnetic field initially points either along the x-direction (blue lines) or the z-direction (green lines). At time t = 0 dephasing ??=0.4??


γ=0.4τ is switched on and B pointed along the z-direction. Long-range correlations emerge from the initially thermal state through dephasing. The inset shows ????

??

??

(??)??

??Six(t)?? and the magenta dashed lines represent analytical values in the long-time limit

Full size image

We emphasize that the eigenstates of the dark Hamiltonian ?

H driving these oscillations are mixed and cannot be realized in an isolated system. Furthermore, the system admits no decoherence-free subspaces as any state |?〉 for which ??

??

|???=0,???

Lj|??=0,?j cannot be an eigenstate of H for finite hopping τ. Indeed, all coherences that lead to dephasing in the isolated system get damped out by the dissipation because the setup does not admit dark states (see Supplementary Methods for a more detailed discussion).

We apply well-established complexity measures based on entropy10 (see Methods) to the time evolution induced by ?

H. Figure 4a shows the mutual information between lattice sites as a function of time. In the presence of dephasing we see that for small times this is uniform and large which indicates that the reduced quantum state of a single site contains a large amount of information about the rest of the system. During the time evolution the mutual information decreases while simultaneously the disparity, shown in Fig. 4b, increases. Even a relatively small system reaches a complex state with little mutual information and large disparity between different sites. This is consistent with Fig. 2d showing large fluctuations in individual realizations of the evolution. The experimental characterization of such a state necessarily requires measuring many sites. Figure 4 also shows that this complexity does not emerge in the closed system.

Fig. 4

Measures of complexity applied to the evolution of a random initial state of the open and closed Hubbard model. The data is for N = 3 particles on M = 4 sites (dotted lines) and N = 4 particles on M = 4 sites with the first, second, and fourth sites being polarized along the x-direction and the third site along ?x (solid lines). a The quantum mutual information between sites 1 and 3 that decreases quickly during the initial part of the evolution and is noticeably less for the open system case. b The average disparity Y between lattice sites growing with time for the open system dynamics and remaining approximately constant in the closed system. Other parameters as in Fig. 2

Full size image

Discussion

Starting from the Hubbard model, different couplings to the environment can realize different classes of dark Hamiltonians (see the Supplementary Discussion for the details). For instance, when ??

??

=??

?j=? spin dephasing ??

??

=??

??

??

z

??

Lj=γjSjz results in a dark Hamiltonian whose eigenstates all possess long-range off-diagonal η-pairing order, i.e., lim

??→∞

???

+

??

??

?

??

?≠0,???,??

limn→∞?ηi+ηj??≠0,?i,j. Spin dephasing could thus contribute to the formation of superconducting states by inducing η-pairing26.

More generally, our results open up the possibility of studying quantum statistical physics27 of non-Hermitian28 dark Hamiltonians. Linear response theory, behavior under periodic driving, relaxation toward subspaces of the dark Hamiltonian, the formulation of a semiclassical limit and metastability29 are also interesting and open questions. The asymptotic coherent dynamics induced by a dark Hamiltonian breaks time-translation symmetry. It may thus be understood as the dissipative realization of a fully quantum time crystal30,31 in the bulk that does not require external time-dependent driving31 or collective dissipation of a noninteracting system32.

We have shown that relaxation to equilibrium and stationarity can be prevented by environmental dissipation. This causes some degrees of freedom to dampen out and stops them from dephasing. The underlying physics resembles classical complex system dynamics where also not all available degrees of freedom contribute to the formation of collective complex behavior9.

Methods

Symmetries of the Hubbard model

The D-dimensional Hubbard Hamiltonian on a bipartite lattice commutes with two sets of generators of the su(2) algebra. The first set consists of spin operators33

??

z

=∑

??

??

z

??

,??

??

??

=1

2


(??

??,↑

???

??,↓

),

Sz=∑j?Sjz,Sjz=12(nj,↑?nj,↓),

(4)??

+

=∑

??

??

+

??

,??

+

??

=??

?

??,↑

??

??,↓

,

S+=∑j?Sj+,Sj+=cj,↑?cj,↓,

(5)??

?

=∑

??

??

?

??

,??

?

??

=??

?

??,↓

??

??,↑

,

S?=∑j?Sj?,Sj?=cj,↓?cj,↑,

(6)

where ??

??,↓

cj,↓ (??

??,↑

)

(cj,↑) is the standard fermionic annihilation operator annihilating a down (up) spin on site j. We have

[??,??

z

]=0,[??,??

±

]=±????

±

.

[H,Sz]=0,[H,S±]=±BS±.

(7)

The other, hidden, SU(2) symmetry, called η-pairing, is given in terms of its generators as

??

z

=1

2


??

(??

??

?1),

ηz=12∑j?(nj?1),

(8)??

+

=∑

??

??(??)??

+

??

,??

+

??

=??

?

??,↑

??

?

??,↓

,

η+=∑j?τ(j)ηj+,ηj+=cj,↑?cj,↓?,

(9)??

?

=∑

??

??(??)??

?

??

,??

?

??

=??

??,↓

??

??,↑

,

η?=∑j?τ(j)ηj?,ηj?=cj,↓cj,↑,

(10)

where τ(j) follows an alternating checkerboard pattern of +1. With ??

??

=??

?j=?we have

[??,??

z

]=0,[??,??

±

]=±2????

±

.

[H,ηz]=0,[H,η±]=±2?η±.

(11)

Crucially, we also have [??

??

??

,??

??

??

]=0,???,??,??,??

[Sjα,ηkβ]=0,?α,β,j,k. This fact allows us to construct Lindblad operators in terms of either spin or η -pairing operators and get dark Hamiltonians in the long-time limit. In the main text we study the example Lj = γj nj. Explicitly, the local transverse magnetizations are given by ??

x

??

=(??

+

??

+??

?

??

)/2

Sjx=(Sj++Sj?)/2 and ??

y

??

=i(??

+

??

???

?

??

)/2

Sjy=i(Sj+?Sj?)/2.

Quantum mutual information and disparity

Taking a complex network measure applied to quantum systems from ref. 10 we study the complexity of the coherent dynamics using quantum mutual information

??

????

=1

2


(

??

+

??

?

????

),

Iij=12(Si+Sj?Sij),

(12)

where 

??

=tr(??

??

log??

??

)

Si=tr(ρilogρi) and 

????

=tr(??

????

log??

????

)

Sij=tr(ρijlogρij) are the one- and two-point reduced von Neumann entropies of subsystems ??

??

=tr

??≠??

??

ρi=trk≠iρ and ??

??,??

=tr

??≠??,??

??

ρi,j=trk≠i,jρ. Using this we also define the disparity Yi

??

??

=∑

??

??=1

(??

????

)

2

(∑

??

??=1

??

????

)

2


,

Yi=∑j=1M?(Iij)2(∑j=1M?Iij)2,

(13)

which may intuitively be understood by observing that it is small when the quantum mutual information between site i and the other sites takes on a constant value and large when one particular Iij takes on a dominant value. More specifically, we study the average disparity across the sites ??=1

??


??

??=1

??

??

Y=1M∑j=1M?Yj.

Simulation of the master equation

The numerical calculations shown in Figs. 2 and 3a were performed by a stochastic unraveling of the master equation into individual realizations by the quantum trajectories method34. The trajectories were calculated using the Tensor Network Theory Library35. In Figs. 3b and 4, we numerically integrated the full matrix representation of the master equation directly.

Data availability

The data that supports the plots within this paper and other findings of this study are available from the authors upon reasonable request. The figures were produced with Python and processed with Inkscape.

Code availability

The Tensor Network Theory Library35, which can be used to perform the simulations in the article, is available at https://www.tensornetworktheory.org/. The programming scripts used to obtain the data in this manuscript are available from the authors upon reasonable request.



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