Initial Correlations in Open Quantum Systems Constructing Linear Dynamical Maps and Master Equations Alessandra Colla1Niklas Neubrand1and Heinz-Peter Breuer1 2

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Initial Correlations in Open Quantum Systems: Constructing Linear Dynamical Maps
and Master Equations
Alessandra Colla,1Niklas Neubrand,1and Heinz-Peter Breuer1, 2
1Institute of Physics, University of Freiburg, Hermann-Herder-Straße 3, D-79104 Freiburg, Germany
2EUCOR Centre for Quantum Science and Quantum Computing,
University of Freiburg, Hermann-Herder-Straße 3, D-79104 Freiburg, Germany
(Dated: October 25, 2022)
We investigate the dynamics of open quantum systems which are initially correlated with their
environment. The strategy of our approach is to analyze how given, fixed initial correlations modify
the evolution of the open system with respect to the corresponding uncorrelated dynamical behavior
with the same fixed initial environmental state, described by a completely positive dynamical map.
We show that, for any predetermined initial correlations, one can introduce a linear dynamical map
on the space of operators of the open system which acts like the proper dynamical map on the set
of physical states and represents its unique linear extension. Furthermore, we demonstrate that this
construction leads to a linear, time-local quantum master equation with generalized Lindblad struc-
ture involving time-dependent, possibly negative transition rates. Thus, the general non-Markovian
dynamics of an open quantum system can be described by means of a time-local master equation
even in the case of arbitrary, fixed initial system-environment correlations. We present some illus-
trative examples and explain the relation of our approach to several other approaches proposed in
the literature.
I. INTRODUCTION
The theory of open quantum systems has since its con-
ception gained more and more traction as a powerful tool
for studying quantum systems [1]. Its formulation for the
case of systems weakly coupled to Markovian baths has
been extended to arbitrary coupling and non-Markovian
behavior with numerous techniques, which brought to
the formulation of popular exact master equations such
as the Nakajima-Zwanzig equation [2, 3] and the time-
convolutionless (TCL) master equation [4, 5]. An often
made assumption in many approaches is that of factor-
izing initial condition between the system and the en-
vironment. Such a requirement has been highly criti-
cized, either on the grounds of it being unphysical [6–8],
or just too restrictive, and the question of initial corre-
lation has become of importance [9–11]. For example,
the treatment of the dynamics of open systems including
correlations in the initial state leads to a general method
for the local detection of correlations between the sys-
tem and an inaccessible environment [12, 13] which has
been realized experimentally both in trapped ion and in
photonic systems [14–16]. Several efforts have thus been
made to extend the theory to allow for correlated initial
states, both in terms of examining conditions for which
the resulting dynamical map is completely positive [17–
23] and of finding alternative methods for the dynami-
cal description of the reduced system [24–28]. The ap-
proaches are numerous and varied, and the wide array of
papers on the subject paints the picture of a complicated
subject matter. Considering initial correlations can mean
very different things, depending on what one assumes of
the initial system-environment state: should the envi-
ronment be in a fixed, specific initial state, or should it
depend on the correlations? Are the system and the en-
vironment initially in a separable, classically correlated,
entangled state? Different choices lead to different re-
duced dynamics, and may induce limitations such as loss
of complete positivity or a restriction of the set of initial
system states that can be studied. Trying to avoid these
choices to allow for any initial total states might instead
result in other losses, like that of a unique dynamical map
[26]. Ultimately, the decision should be made based on
which questions one is trying to answer or which advan-
tage one wants to gain, carefully taking into account the
consequent drawbacks.
A possible limitation of initial correlations between the
system and the environment is that they may impose
non-linearity of the equations describing the evolution of
the reduced system, the dynamical map and the master
equation, depending on the initial conditions chosen – for
example, such non-linearity may appear in the shape of
additional inhomogeneous terms [29, 30]. However, dy-
namical maps in the case of entangled initial state have
been extended to linear maps on matrices by perform-
ing a basis transformation [31, 32], showing that such
a linearized map is, as a consequence, no longer com-
pletely positive. Some groups, primarily Dominy, Sha-
bani and Lidar (DSL) [33, 34], have then more rigorously
approached the subject of initial correlations by develop-
ing general frameworks for which the linearity of the dy-
namical map can be preserved or obtained. The linearity
property, in fact, comes with several advantages, such as
the operator-sum representation due to Choi [35] of linear
and Hermiticity preserving superoperators and the subse-
quent criterion for such a superoperator to be completely
positive, the renowned Kraus representation [36]. More-
over, a dynamical map which is linear – even if not com-
pletely positive (CP) – automatically leads, through its
inverse, to an exact generator of the evolution which can
be put into a time-local generalized Lindblad form with
time-dependent, possibly negative rates [37, 38]. Master
arXiv:2210.13241v1 [quant-ph] 24 Oct 2022
2
equations of this form have a wide range of applications,
e.g. in non-Markovian stochastic unravelings [39–42] and
recently proposed formulations of quantum thermody-
namics [43], and make a strong case for why finding a
linear dynamical map should be preferred. But there is
a trade-off: in order to maintain linearity, these frame-
works have to sacrifice the universality of states studied,
both in the sense of what class of total initial states are
considered, and of how many initial reduced states can be
described via the same evolution. While the DSL frame-
work has been proven to be the most general for the study
of initial correlations while maintaining linearity [44], in
its generality one might find it difficult to get a feeling
for the operational procedure involved in practice, and
for how big are the sacrifices made for the safeguard of
linearity.
In this work, we focus on a view of initial correla-
tions which is not intended to keep track of the kind
of correlations initially present, but rather focuses on
the difference between uncorrelated and correlated ini-
tial states, by looking at how the evolution depends on
the initial correlation operator. While this has been seen
in other approaches to give rise to an affine dynamical
map [29, 30], this context can be easily embedded into
a formalism which is in spirit analogous to the DSL ap-
proach. In fact, as we shall see through an explicit pre-
scription, it is always possible to construct a linear dy-
namical map for the reduced system, as a consequence
of the fact that the dynamical map itself acts linearly
on the set of density matrices (it does so even on the
set of trace 1 matrices) and can thus be extended to a
linear map on the set of all operators. The resulting
evolution is then comprised of the usual “uncorrelated”,
completely positive and trace preserving (CPT) dynam-
ical map plus an extra part which depends on the initial
correlations. From this we can construct the associated
master equation, which is once again linear, and exists
any time the inverse of the original uncorrelated dynam-
ical map exists. Thanks to the linearity of the master
equation, this can be put in generalized Lindblad form,
with initial correlations contributions appearing only in
the dissipator. In our view, our results show how initial
correlations do not represent such an added conceptual
challenge with respect to the uncorrelated initial state,
contrary to what is often held, the only drawbacks being
the possible loss of complete positivity and the restriction
on the initial reduced states that can be studied with the
same dynamical map.
The structure of the paper is the following: in Sec. II
we review how the assumption of a fixed initial corre-
lation operator leads to an affine dynamical map, and
formally define the domain of validity of such map. In
Sec. III we explicitly construct the unique linear exten-
sion for the dynamical map and establish a formal cri-
terion for complete positivity. In Sec. IV we deduce the
linear master equation accounting for initial correlations,
and study the structural change with respect to the un-
correlated case. Sec. V contains an application of the
proposed approach to the Jaynes-Cummings model. We
make concluding remarks in Sec. VI.
II. INITIAL CORRELATIONS AND AFFINE
DYNAMICAL MAPS
For an uncorrelated initial state of the total system
ρSE (0) = ρS(0) ρEthe dynamical map Φtdescribing
the evolution of the reduced system is determined by two
factors only:
1. the unitary evolution for the total system Ut
2. the initial environmental state ρE
as one can see directly from the definition of the density
matrix of the reduced system
ρS(t)χ=0
= Φt[ρS(0)] = TrE{UtρS(0) ρEU
t},(1)
where the superscript χ= 0 denotes the absence of ini-
tial correlations. Throughout the paper, we assume the
Hilbert space of the reduced system to be finite dimen-
sional. The map Φtis linear, trace preserving and always
completely positive (CPT), thus admitting a Kraus rep-
resentation
Φt[ρS(0)] = X
i
i(t)ρS(0)Ω
i(t),(2)
through the set of time dependent operators isatisfying
Pi
ii=Iat all times. For a correlated initial state
ρSE (0) 6=ρS(0) ρEmost of these results fail. However,
one can analogously study the general case and compare
it to its uncorrelated counterpart by dividing any ini-
tial total system state into its corresponding uncorrelated
state and a correlation operator χ:
ρSE (0) = ρS(0) ρE+χ , (3)
where ρS(0) = TrE{ρSE (0)},ρE= TrS{ρSE (0)}are the
respective reduced states and χhas the property of being
Hermitian and of yielding the null operator for both par-
tial traces, TrE{χ}= 0,TrS{χ}= 0. Now, the dynam-
ical map depends additionally on the initial correlation
operator through an extra term:
Φχ
t[ρS(0)] = Φt[ρS(0)] + Iχ
t,(4)
with Iχ
t= TrE{UtχU
t}. In the special case where χ
commutes with the Hamiltonian generating the unitary
evolution Ut, namely when the correlation operator is left
invariant by the evolution, the dynamical map above is
identical to the uncorrelated Φt.
Our strategy in order to deal with correlated initial
states is to determine the reduced dynamics through a
dynamical map determined by
1. the unitary evolution for the total system Ut
3
2. the initial environmental state ρE
3. the correlation operator χ,
effectively regarding the initial correlation operator as a
parameter to be taken independently of the reduced sys-
tem state, analogously to what is done to ρEin the un-
correlated case. Note that these assumptions are also at
the core of [29], where the parameters describing the en-
vironment and the correlations at time zero should be de-
termined (fixed). Indeed one can always do so; however,
the set of initial reduced states whose evolution can be
adequately described is then limited to the set of “phys-
ical” states Pχ
E(HS), dependent on ρEand χ, for which
the total operator (3) is still a proper state of the total
Hilbert space. A general and explicit characterization of
this set is not straightforward, as it heavily depends on
the interplay between the chosen environmental state and
the correlation operator. Nonetheless, a formal definition
for Pχ
E(HS)can be given by introducing an assignment
map [9]. This map is designed to map a reduced state
into a unique system-environment state. For our case,
the assignment map depends on the choice of initial en-
vironmental state and correlations:
αχ
E:B(HS)→ B(HSE )(5)
X7−XρE+χ . (6)
Using the notation S(HSE )to denote the convex set
of states of the full Hilbert space, the physical domain
Pχ
E(HS)can be identified as the preimage of S(HSE )
under the assignment map αχ
E, i.e.
Pχ
E(HS)=(αχ
E)1[S(HSE )] .(7)
In more explicit terms, the physical domain corresponds
to the elements of S(HS)for which the corresponding
total operator is positive, i.e. any state ρS∈ S(HS)
satisfying the condition
ρSρE+χ0.(8)
Naturally, for χ= 0 one recovers Pχ=0
E(HS) = S(HS).
Once χis set, then the dynamical map (4) becomes
an affine map on the space of bounded operators B(HS),
with a CPT linear component and a traceless offset term.
It is thus still trace-preserving, but not necessarily com-
pletely positive. While it is true that formally Φχ
tis well
defined on all B(HS), it only assumes physical meaning
when acting on elements of Pχ
E(HS). As we will see in
the next section, this allows us to replace (4) with an
equivalent linear map defined on all bounded operators
and that acts as the proper dynamical map on Pχ
E(HS).
III. LINEAR DYNAMICAL MAP FOR INITIAL
CORRELATIONS
Let us define the set of all bounded operators of the
reduced Hilbert space that have trace one, A1(HS) :=
{X∈ B(HS)|Tr{X}= 1}. This is an affine subspace of
B(HS), since all affine combinations (combinations with
coefficients λiCsuch that Piλi= 1) of trace one
operators Xi∈ A1(HS)are still of trace one:
TrnX
i
λiXio=X
i
λi= 1 .(9)
We recall that an affine map can also be defined when
acting on an affine space as a map that is linear under
affine combinations; i.e., a map facting on an affine
space Ais affine if and only if, for any set of elements
Ai∈ A and any set of coefficients λisuch that Piλi= 1,
it follows that
fX
i
λiAi=X
i
λif(Ai).(10)
It is known that such an affine map can be uniquely ex-
tended to a linear map on the smallest linear space con-
taining A, denoted by Span(A). It follows from this rea-
soning that the dynamical map (4), which acts linearly
over all trace one operators A1(HS), can be uniquely
extended to a linear map on Span(A1(HS)) = B(HS),
the full space of bounded operators for the reduced sys-
tem. These are straightforward mathematical results,
whose proofs we nonetheless report for completeness in
Appendix A, both in abstract terms and for the specific
case studied. The important point is that the dynamical
map for initial correlations (4) can be substituted with
a unique equivalent linear map on all bounded operators
that still describes the proper evolution of all relevant
states. One can easily check that the following map
Ψχ
t[X]=Φt[X] + Iχ
tTr{X}(11)
has the wanted properties of being linear and extending
(4) to all X∈ B(HS), and must therefore be its unique
linear extension.
Let us examine its features. Like in the affine case, the
tracelessness of Iχ
tguarantees that the map is trace pre-
serving. In general, with respect to the previous uncor-
related version, it instead loses the property of complete
positivity and possibly even positivity. Still, the map
evolves any element of the physical domain to a proper
state of the reduced system, Ψχ
t[Pχ
E(HS)] ⊂ S(HS), and
it is written as a sum of a completely positive, correlation
independent part and a term depending on initial corre-
lations. Since this second term is linear and Hermiticity
preserving, it admits a pseudo-Kraus representation of
the following form [35]:
Iχ
tTr{ρS(0)}=X
i
fi(t)Fi(t)ρS(0)F
i(t),(12)
with the extra condition Pifi(t)F
i(t)Fi(t) = 0 and
where the coefficients fi(t)can be negative. From the
spectral decomposition of Iχ
t,
Iχ
t=X
j
aj(t)|ϕj(t)ihϕj(t)|,(13)
摘要:

InitialCorrelationsinOpenQuantumSystems:ConstructingLinearDynamicalMapsandMasterEquationsAlessandraColla,1NiklasNeubrand,1andHeinz-PeterBreuer1,21InstituteofPhysics,UniversityofFreiburg,Hermann-Herder-Straÿe3,D-79104Freiburg,Germany2EUCORCentreforQuantumScienceandQuantumComputing,UniversityofFreibur...

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