Shortcuts to Adiabaticity in Driven Open Quantum Systems: Balanced Gain and Loss and Non-Markovian Evolution
S. Alipour, A Chenu, A. T. Rezakhani, A. del Campo

TL;DR
This paper introduces a universal method to accelerate the evolution of driven open quantum systems along specific paths, applicable to systems with balanced gain and loss or non-Markovian dynamics, enabling faster quantum control processes.
Contribution
It generalizes counterdiabatic driving to open quantum systems and provides practical protocols for rapid thermalization and state manipulation.
Findings
Successfully engineered superadiabatic cooling, heating, and isothermal strokes.
Demonstrated fast thermalization of a quantum oscillator.
Applicable to systems with balanced gain/loss and non-Markovian dynamics.
Abstract
A universal scheme is introduced to speed up the dynamics of a driven open quantum system along a prescribed trajectory of interest. This framework generalizes counterdiabatic driving to open quantum processes. Shortcuts to adiabaticity designed in this fashion can be implemented in two alternative physical scenarios: one characterized by the presence of balanced gain and loss, the other involves non-Markovian dynamics with time-dependent Lindblad operators. As an illustration, we engineer superadiabatic cooling, heating, and isothermal strokes for a two-level system, and provide a protocol for the fast thermalization of a quantum oscillator.
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Shortcuts to Adiabaticity in Driven Open Quantum Systems:
Balanced Gain and Loss and Non-Markovian Evolution
S. Alipour∗
QTF Center of Excellence, Department of Applied Physics, Aalto University, P. O. Box 11000, FI-00076 Aalto, Espoo, Finland
A. Chenu∗
Donostia International Physics Center, E-20018 San Sebastián, Spain
IKERBASQUE, Basque Foundation for Science, E-48013 Bilbao, Spain
A. T. Rezakhani
Department of Physics, Sharif University of Technology, Tehran 14588, Iran
A. del Campo
Donostia International Physics Center, E-20018 San Sebastián, Spain
IKERBASQUE, Basque Foundation for Science, E-48013 Bilbao, Spain
Department of Physics, University of Massachusetts, Boston, MA 02125, USA
Abstract
A universal scheme is introduced to speed up the dynamics of a driven open quantum system along a prescribed trajectory of interest. This framework generalizes counterdiabatic driving to open quantum processes. Shortcuts to adiabaticity designed in this fashion can be implemented in two alternative physical scenarios: one characterized by the presence of balanced gain and loss, the other involves non-Markovian dynamics with time-dependent Lindblad operators. As an illustration, we engineer superadiabatic cooling, heating, and isothermal strokes for a two-level system, and provide a protocol for the fast thermalization of a quantum oscillator. ††∗These authors contributed equally to the work.
Shortcuts to adiabaticity (STA) allow controlling the evolution of a quantum system without the requirement of slow driving [1, 2, 3]. The controlled speedup of quantum processes is broadly recognized as a necessity for the advance of quantum technologies, and STA have found a variety of applications, including phase-space preserving cooling [4], population transfer [5, 6], and friction suppression in finite-time thermodynamics [7, 8, 9], to name some relevant examples. To date, STA have been demonstrated in the laboratory using ultracold gases [10, 11, 12, 13, 14, 15, 16], nitrogen-vacancy centers [17, 18], trapped ions [19], superconducting qubits [20, 21], and other systems [1].
Despite this remarkable progress, the use of STA has been predominantly restricted to tailor the dynamics of isolated driven systems. However, any physical system is embedded in a surrounding environment with which it can interact and exchange energy, particles, etc. In such a setting, the dynamics of the system is no longer-described by a Hamiltonian and is associated with a master equation [22]. A notable exception concerns the dynamics of an isolated system conditional to a given subspace of interest. The dynamics can then be described in terms of a non-Hermitian Hamiltonian, that generates loss and gain when the system leaves the subspace of interest and returns to it, respectively [23]. Scenarios characterized by a balance of gain and loss arise naturally, e.g., in the presence of a non-Hermitian potential that breaks time-reversal symmetry but preserves parity-time-reversal symmetry, i.e., in -symmetric quantum mechanics [24, 25, 26, 27, 28, 29].
Recent efforts on developing STA in open quantum systems have predominantly focused on mitigating decoherence [1, 3]. Perturbative methods have been put forward to inhibit unwanted transitions in two- and three-level systems [30, 31], while the use of decoherence-free subspaces in open quantum systems allow one to mitigate decoherence [32, 33, 34],
However, the use of STA to speed up open quantum processes is expected to make possible a wide range of applications such as design of novel cooling techniques, information erasure [35], or the engineering of superadiabatic quantum machines [36]. In this context, the engineering of STA in systems described by non-Hermitian Hamiltonians has been advanced in Refs. [37, 38, 39, 40] while the control by STA of arbitrary nonunitary dynamics requires further progress. A pioneering effort to this end introduced fast control protocols for Markovian processes [41]. This guarantees an independent evolution for the different Jordan blocks forming the Lindblad operator, thus fulfilling the notion of adiabaticity for open system introduced in Ref. [42]. More recently, the fast thermalization of a harmonic oscillator has been proposed via the reverse engineering of a non-adiabatic Markovian master equation [43] and engineered dephasing [44]. A related study has shown the possibility of speeding up the thermalization of a system oscillator locally coupled to a harmonic bath [45]. Engineering of the system-bath coupling has also been proposed to speed-up isothermal processes [46]. The fast driving between equilibrium and squeezed states has also been presented [47].
In this paper, we introduce a universal scheme to engineer STA in arbitrary open quantum systems. Our work provides a generalization of the counterdiabatic driving technique [5, 6, 48] to open quantum processes. To this end, we consider the evolution of a quantum system described by a mixed state along a prescribed trajectory of interest. We then find the equation of motion that generates the desired dynamics. The latter can be recast in terms of the nonlinear evolution of a system in the presence of balanced gain and loss. Alternatively, the dynamics can be associated with a non-Markovian master equation with time-dependent Lindblad operators whose explicit form is determined by the prescribed trajectory. We demonstrated this framework by discussing the controlled open quantum dynamics of a two-level system and a driven quantum oscillator.
1 STA by counterdiabatic driving
Consider a quantum evolution of interest described by the mixed state
[TABLE]
of finite rank . We pose the problem of enforcing the evolution of the system through this trajectory.
Under unitary dynamics, eigenvalues of the density matrix remain constant, —denoted briefly as . The equation of motion for the density matrix in this case reads
[TABLE]
and can be recast as a Liouville-von Neumann equation, (with ), whenever the dynamics is generated by the Hamiltonian
[TABLE]
This Hamiltonian generates parallel transport along each of the eigenstates and is often used in proofs of the adiabatic theorem [49, 50].
In the context of control theory, the derivation of can be systematically achieved by the so-called counterdiabatic (CD) driving technique, also known as transitionless quantum driving [5, 6, 48]. Specifically, CD assumes that are the eigenstates of a reference system that can be controlled by the auxiliary field so that the full dynamics is actually generated by . Yet, in the most general setting, the instantaneous eigenstates used in the specification of the trajectory (1) need not be the eigenstates of the physical Hamiltonian of the system. To identify a reference Hamiltonian in this case, we choose to evolve as a thermal state,
[TABLE]
where denotes the partition function, and is the inverse temperature (assuming ). With this definition, the spectral decomposition of the reference Hamiltonian reads
[TABLE]
where the eigenvalues are time-independent, and so is the partition function. By construction , and the state is a solution of
[TABLE]
where .
2 CD driving of open quantum systems
In what follows we shall focus on the case where the eigenvalues of the density matrix are time-dependent. The von Neumann entropy of the state is then a function of time, and the dynamics is generally open and nonunitary. Indeed, for an arbitrary change of the eigenvalues the dynamics is generally non-trace-preserving.
For a given time-dependence of , the equation of motion for the trajectory can be analogously derived as
[TABLE]
The dynamics is trace-preserving whenever , i.e., . The equation of motion (7) admits several physical interpretations that we discuss below.
2.1 Mixed evolution under balanced gain and loss
The additional term in Eq. (7) can be associated with the anti-Hermitian operator
[TABLE]
The equation of motion for is then generated by the full non-Hermitian Hamiltonian , i.e.,
[TABLE]
For arbitrary , this evolution is not necessarily norm-preserving and the norm varies at a rate
[TABLE]
A norm-preserving evolution through the trajectory is governed by the modified equation of motion
[TABLE]
where and the time-dependence of all terms has been dropped for brevity. Note that the resulting equation is nonlinear in the quantum state . This dynamics thus takes the form of a mixed-state evolution in the presence of balanced gain and loss [51] with a time-dependent generator [52]. Balanced gain and loss arises naturally in the study of -symmetric quantum systems [24], that can be used to describe a variety of experiments [25, 26, 27, 28, 29].
2.2 Lindblad-like form
Considering the prescribed trajectory (1) and its derivative (7), one can recast the incoherent part
[TABLE]
as an auxiliary CD dissipator in a Lindblad-like form for a trace-preserving trajectory. Assuming a trace-preserving evolution, , we find the time-dependent Lindblad operators and rates as (see the appendixes)
[TABLE]
that are determined by (the spectral resolution of) —and thus state-dependent. The resulting master equation
[TABLE]
is generally non-Markovian, because of possibly negative rates. We remark that the existence of a Lindblad-like master equation for an arbitrary dynamics has recently been proven in Ref. [53]. However, in the representation (7) like a Lindblad-like master equation, the anticommutator term in Eq. (14) identically vanishes and the dissipator reduces exclusively to jumps in the instantaneous eigenbasis.
The equivalence of Eqs. (11) and (14) shows that the nonlinear evolution of a mixed state under balanced gain and loss can be represented by a nonlinear and generally non-Markovian master equation with time-dependent Lindblad operators, determined by choice of the trajectory (1).
We note that the time-evolution operator generated by the CD Hamiltonian takes the form [48]
[TABLE]
where the time-dependent phase is the sum of the dynamical and geometric contributions. In the co-moving frame associated to , the master equation for takes the simple form
[TABLE]
with . As a result, the time-dependent Lindblad operators map to the time-independent ones , while keeping the same rates . This feature is specific to the superadiabatic driving of open quantum systems and differs from the general case that leads to more complex time-dependent Lindblad operators [22].
3 Quantum speed limit for STA in open quantum processes
Time-energy uncertainty relations identify characteristic time scales in a physical process. Speed limits sharpen this identification by providing a minimum time for a physical processes to occur in terms of the generator of the evolution. We next show how speed limits relate the operation time of a protocol to the amplitude of the required unitary and nonunitary CD terms. The geometric formulation of the quantum speed limit [54] states that
[TABLE]
where is the metric for a given distance , and the time average upper bounds the speed of evolution.
The quantum Fisher information is the metric (with a prefactor) associated with the Bures distance between quantum states
[TABLE]
that is defined in terms of the fidelity between and [55]. The speed limit (17) implies that the driving time of the process is constrained by the ratio of the distance between quantum states and the velocity at which is traversed .
From Eq. (9), we can identify as a non-Hermitian symmetric logarithmic derivative, satisfying [56], based on which an upper bound on the quantum Fisher information is obtained as . As a result, the quantum speed limit reads
[TABLE]
The minimum time to implement a STA driving the system from to is thus not only governed by the Hermitian system Hamiltonian , but as well by the term governing gain and loss.
Alternatively, using the trace distance rather than the Bures distance, the relevant metric is . Using Eqs. (9) and (14) for and the triangle inequality, one obtains for the gain-loss equation and for the Lindblad-like equation. In all of these bounds, both the CD Hamiltonian and dissipator set the speed of evolution.
4 Examples
4.1 Strokes for a two-level system
Consider a two-level system described by a time-dependent Hamiltonian
[TABLE]
where and are the Pauli matrices. The instantaneous eigenstates read , where and the corresponding eigenstates are
[TABLE]
with and . We consider the system to be described by the time-dependent mixed state . Thus, the target trajectory is already diagonal in the eigenbasis of the uncontrolled system Hamiltonian . The auxiliary control term required to guide the dynamics is known to be of the form [5, 6, 48]
[TABLE]
so that the full dynamics is generated by . The dynamics is open when the eigenvalues are time-dependent.
The first approach we have introduced relies on the presence of gain and loss, for which the dynamics is generally no longer trace-preserving, i.e., is time-dependent and different from unity. Such evolution is generated by the non-Hermitian Hamiltonian , where
[TABLE]
Under balanced gain and loss, the trace-preserving property is restored by the nonlinear equation (11) with this choice of .
Alternatively, STA in an open two-level system can be associated with a Lindblad-like master equation with the Lindblad operators
[TABLE]
The rates are given by and .
Assume that the system is initially prepared in a thermal state at inverse temperature , , where with . We focus on description of thermodynamic protocols for which the target trajectory is an instantaneous thermal state with inverse temperature , i.e.,
[TABLE]
One can engineer different processes of interest which are of this type. For example, in a superadiabatic isothermal stroke, the state is always in a thermal form at a given reference inverse temperature , regardless of the rate at which is driven. Nonadiabatic excitations are cancelled by the auxiliary term in Eq. (22), while the thermal form of is guaranteed by the Lindblad operators and rates. For arbitrary and , they read
[TABLE]
where and .
A typical modulation in time is shown in Fig. 1 for a two-level system to evolve along STA for an isothermal stroke induced by driving of while keeping constant. Specifically, is chosen as a fifth-order polynomial in time interpolating between the initial and final values. The rates have opposite signs, vanish identically at the avoided crossing, and flip signs during the subsequent evolution.
It is possible to look as well for cooling and heating protocols characterized by a time-dependent inverse temperature keeping constant, as required, e.g., in a quantum Otto cycle. In such a case, vanishes, and the cooling and heating strokes are implemented by time-independent Lindblad operators with time-dependent rates,
[TABLE]
where and . The time-dependence of the rates is explicitly illustrated for both cooling and heating processes in Fig. 1, for constant values of and , and interpolating between and again as a fifth-order polynomial. The non-Markovian character of the evolution is manifest given the time-dependence of the Lindblad operators and the opposite sign of the corresponding rates.
Beyond these two prominent examples, more general strokes can be considered. The required Lindblad operators in the most general setting are provided in the appendixes. We also note that in all cases the corresponding operator associated with gain and loss can be conveniently expressed in terms of the rates as
[TABLE]
In the following, we consider another example in which the real physical dynamics of the system keeps its state always in the Gibbsian form with a time-dependent temperature.
4.2 STA for equilibration of a thermalizing atom
Consider a two-level atom in a thermal bosonic bath at inverse temperature . The dynamics of the atom under some conditions can be described by [57, 58, 59]
[TABLE]
where , and
[TABLE]
Here, \bar{n}\big{(}\omega_{0},\beta_{B}(0)\big{)}=(\mathrm{e}^{\beta_{B}\omega_{0}}-1)^{-1} is the mean boson number in a mode with frequency , and is a time-independent constant indicating the strength of the coupling between the atom and the thermal bath.
If the atom is initially in a thermal state , its instantaneous state is obtained by solving the above master equation, which gives a Gibbsian thermal state , with
[TABLE]
Here (), , and .
Equation (14) suggests another dynamical equation realizing the same trajectory . Since is time-independent, will be zero as well. The Lindblad operators are given in terms of the eigenstates of as where , and the rates are obtained from Eq. (13b) by considering that and can also be identified simply as and , respectively (see the appendixes). While the Lindblad operators here are equal to those in Eq. (29), the rates in the Markovian master equation (29) are positive constants. By contrast, the rates in Eq. (14) are time-dependent and negative for some time intervals, as illustrated in Fig. 2. Nonetheless, in both cases equilibration with the bath at temperature takes infinite time.
A STA in finite time can be associated with a trajectory and a modified inverse temperature satisfying . Using Eq. (14), the Lindblad operators remain unchanged, as in Eq. (30), whereas the rates are obtained from Eq. (13b) as and . In Fig. 2, the right panel shows the temperature for a typical function as such that at the system state thermalizes, i.e., .
4.3 Fast thermalization of a quantum oscillator
We next consider the fast thermalization of a quantum oscillator using the general scheme presented in Sec. 2. This illustrate an application of the proposed scheme for an infinite rank density matrix, that can be implemented with current technology. Alternative approaches for the fast thermalization of an oscillator have been recently presented in Ref. [43, 44].
Consider the time-dependent Hamiltonian with instantaneous thermal state . In the basis of the instantaneous Fock states , the thermal state is diagonal, , with probabilities that are generally time-dependent due to the modulation of the frequency and temperature, where . The thermal state evolves according to Eq. (7), where the commutator and the counterdiabatic Hamiltonian term is given by [60, 61, 62]
[TABLE]
This term can in principle be engineered in a trapped ion as suggested in Ref. [9]. We show below a scheme for implementing in the laboratory the unitarily equivalent trajectory , where
[TABLE]
and is a frequency to be determined. Such trajectory maps an initial thermal state into a final thermal state of different temperature provided vanishes at the beginning and end of the protocol. Direct computation of its time derivative gives \partial_{t}\tilde{\varrho}=\frac{i}{\hbar}\Big{[}\frac{m}{2}\dot{\alpha}_{t}\leavevmode\nobreak\ \hat{x}^{2},\tilde{\varrho}\Big{]}+U_{x}(\partial_{t}\varrho)U_{x}^{\dagger}, which admits a form similar to Eq. (7), i.e,
[TABLE]
where the counterdiabatic Hamiltonian in the rotating frame reads
[TABLE]
and the dissipator is given by
[TABLE]
By explicit computation, the counterdiabatic Hamiltonian Eq. (35) can be recast as
[TABLE]
with time-dependent frequency
[TABLE]
It proves convenient to define , so that
[TABLE]
As shown in App. C, by further choosing
[TABLE]
the dissipator in the rotating frame equals
[TABLE]
with a time-dependent dephasing strength
[TABLE]
Combining the explicit forms of and in Eq. (34) results in the master equation of a time-dependent quantum oscillator subject to dephasing in the coordinate representation, i.e.,
[TABLE]
where
[TABLE]
and is given by Eq. (42) and by Eq. (40). The case of unitary dynamics in which the eigenvalues are constant corresponds to , i.e., . The first term in square brackets on the right-hand side (RHS) of Eq. (4.3) is indeed that used for the (local) counterdiabatic driving of a driven oscillator in the absence of coupling to a bath [63, 62, 9]. The dynamics described by Eq. (4.3) generalizes the case of unitary evolution to account for the controlled driving of an open quantum oscillator (i.e., when the eigenvalues of the density matrix are time-dependent) from an initial thermal state to a final thermal state in arbitrary time. The implementation of a STA by counterdiabatic driving for the fast thermalization of a quantum oscillator is achieved by a simultaneous modulation of the driving frequency and the dephasing strength. The dynamics associated with Eq. (4.3) can be readily implemented in the laboratory. It requires the control of the trap frequency and dephasing strength. The latter can be engineered for using noise as a resource via stochastic parametric driving, or through continuous quantum measurements, as recently proposed in Ref. [44]. While the counterdiabatic driving protocol derived here requires similar experimental resources to the ones for STA based on reverse-engineering of the dynamics [44], the time modulations of the driving frequency and the dephasing strength need not be equal, and generally differ, between the two protocols. In addition, their experimental implementation is at reach with current technology in trapped ions [9, 64] and ultracold gases [10].
To illustrate a specific protocol we consider a reference trajectory describing the evolution from an initial thermal state of frequency at inverse temperature to a final thermal state with frequency and inverse temperature . For instance, can be specified by choosing the interpolating ansatze
[TABLE]
with , where is the duration of the process. The polynomial functions are monotonic as a function of time. The required experimental controls to implement the unitarily equivalent trajectory are in Eq. (4.3) and in Eq. (42) with , shown in Fig. 3. Specifically, a heating stroke involving a trap compression shows that the required counterdiabatic modulation of the trapping frequency exhibits a nonmonotonic behavior involving of sequence of tight compressions and decompressions, overshooting the reference modulation. Along the process, the dephasing strength takes predominantly positive values, thus suppressing coherences in the position eigenbasis. counterdiabatic cooling strokes are more challenging to implement than counterdiabatic heating strokes. First, the dephasing strength takes negative values throughout the cooling stroke, enhancing coherences in the position representation. Second, the square frequency of the trap exhibits as well a nonmonotonic behavior characterized, acquiring transient negative values associated with a purely imaginary frequency, e.g., the inversion of the trap into an anti-trap. Such inversions are also common to counterdiabatic driving for unitary processes whenever the duration of the process is comparable to [4]. While the inversion of the trap is not free from technical difficulties, its realization has been facilitated by the development of the painting potential technique and the use of digital micromirror devices [65] as suggested in Ref. [66].
5 Summary and conclusions
We have introduced a universal scheme to design shortcuts to adiabaticity in open quantum systems, interacting with an environment. This scheme provides the generalization of counterdiabatic driving [5, 6], also known as transitionless quantum driving [48], to open quantum systems. It is based on first prescribing a target trajectory for the evolution of the system, and then determining the required auxiliary Hamiltonian terms and dissipators that generate it.
The resulting dynamics admits different physical realizations. It can be associated with a driven system in the presence of balanced gain and loss, a scenario that occurs naturally, e.g., in -symmetric quantum mechanics. Alternatively, it can be implemented via a non-Markovian evolution in which the equation governing the dynamics takes a generalized Lindblad-like form. The latter is readily accessible in a variety of platforms—including trapped ions, Rydberg atoms, and superconducting qubits, among other examples—by using, e.g., digital quantum simulation techniques [67, 68, 69, 70, 71]. Our formalism thus enables to engineer superadiabatic open processes to speed up, i.e., heating, cooling, and isothermal strokes.
We have applied this framework to the engineering of strokes in an open two-level system. In addition, we have provided an experimentally-friendly protocol for the the controlled thermalization of a driven quantum oscillator, that can be implemented with current technology in trapped ions and ultracold gases. The framework introduced here should find broad applications in quantum thermodynamics, and more generally, in quantum technologies requiring the fast control of an open system embedded in an environment.
*Acknowledgements.—*We would like to thank Tapio Ala-Nissila, Léonce Dupays, and Jack J. Mayo for comments on the manuscript. This work is supported by ID2019-109007GA-I00. Further support by the Academy of Finland’s Center of Excellence program QTF Project 312057 (to S.A.) is acknowledged. A.T.R. also acknowledges support by the QTF, Aalto University’s AScI Visiting Professor Fund, and Sharif University of Technology’s Office of Vice President for Research and Technology.
Appendix A Lindblad-like master equation
In this section, we verify that the dissipator
[TABLE]
with the choice of the time-dependent Lindblad operators and rates given in the main text, satisfies the identity
[TABLE]
Employing the explicit form of in Eq. (A) one finds
[TABLE]
Noting that and , it follows that
[TABLE]
As the second term on the RHS vanishes identically for a norm-preserving evolution, this completes the proof of Eq. (48).
Appendix B Lindblad operators for arbitrary strokes in two-level systems
Consider the trajectory described by the instantaneous thermal state of a two-level system
[TABLE]
where , , and are time-dependent. The Lindblad operators are and , as in Eq. (25) in the main text, with rates
[TABLE]
Appendix C Thermalization of a quantum oscillator
We provide details to establish the equivalence of the different master equations for the fast thermalization of a quantum oscillator. To do this, we use the coordinate representation. The thermal state of a harmonic oscillator is known to be described by a Gaussian density matrix,
[TABLE]
with normalization constant . The real parameters and follow from the inverse length and the normalization factor . This gives the coordinate representation of the dissipator (34) as
[TABLE]
Given the explicit form of , choosing , as in Eq. (40), leads to . The latter corresponds to a dephasing strength, and allows recasting the dissipator as
[TABLE]
We wish to rewrite this last expression in operator form. To that end we note that and thus , whence it follows that
[TABLE]
Explicit computation using the coordinate representation of the trajectory, , yields
[TABLE]
As a result, the dissipator admits the operator form of the dissipator given in the main text, Eq. (41).
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