2014
DOI: 10.1103/physreva.89.052120
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Non-Markovianity and system-environment correlations in a microscopic collision model

Abstract: We show that the use of a recently proposed iterative collision model with inter-environment swaps displays a signature of strongly non-Markovian dynamics that is highly dependent on the establishment of system-environment correlations. Two models are investigated; one in which such correlations are cancelled iteratively and one in which they are kept all across the dynamics. The degree of non-Markovianity, quantified using a measure based on the trace distance, is found to be much greater for all coupling str… Show more

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Cited by 100 publications
(137 citation statements)
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References 36 publications
(36 reference statements)
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“…Eq. (6) shows that the open dynamics of S is manifestly Markovian (according to any non-Markovianity measure [2]) since the evolution of S at all steps n ≥ n depends only on the state of S at step n: the system keeps no memory of its past history. In more rigorous terms, Eq.…”
Section: Collision Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…Eq. (6) shows that the open dynamics of S is manifestly Markovian (according to any non-Markovianity measure [2]) since the evolution of S at all steps n ≥ n depends only on the state of S at step n: the system keeps no memory of its past history. In more rigorous terms, Eq.…”
Section: Collision Modelsmentioning
confidence: 99%
“…The last property alongside their simple and intrinsically discrete nature make CMs advantageous case studies to investigate major open problems in quantum non-Markovianity once the basic model outlined above is modi ed so as to introduce a memory mechanism. Among the ways to endow a CM with memory are: adding ancillaancilla collisions [4][5][6][7][8][9][10], embedding S into a larger system [11][12][13][14][15], allowing S to collide with each ancilla more than once [16,17], assuming a correlated initial bath state instead of a product one [18][19][20][21][22][23][24][25] or initial system-bath correlations [26][27][28]. Typical tasks that can be accomplished through NM CMs constructed in one of these ways are: deriving well-de ned (i.e., unconditionally completely positive) NM MEs [4,5,[37][38][39], gaining quantitative information about the role of system-bath and/or intra-bath correlations in making a dynamics NM [6,10,[19][20][21][22], simulating highly NM dynamics or indivisible channels [7,18,24].…”
Section: Introductionmentioning
confidence: 99%
“…Let us begin by outlining the basic collision model framework [30,33,34,[47][48][49][50][51][52] which provides a versatile tool for exploring the emergence of non-Markovianity and, due to their construction, serves as the ideal testbed for studying the precursors of non-Markovianity captured in equation (2) by exploiting equations (3) and (4). Following [30,47], the environment is composed of an array of individual ancillae, E i , initially factorized and all with the same initial state. The time evolution is discretized such that at 'time-step' n the system, S, collides with ancilla, E n , after which we retain all correlations established by this system-ancilla (SA) interaction while E n subsequently collides with E n+1 .…”
Section: Application To a Collision Modelmentioning
confidence: 99%
“…[5] and more recently studied in Refs. [6,7] have proved to be a promising tool to analyze quantum non-Markovian dynamics [8][9][10][11][12][13] as well as of quantum thermodynamical systems (see, e.g., Refs. [14][15][16]).…”
Section: Introductionmentioning
confidence: 99%
“…A memoryless collision model thus entails a fully Markovian evolution for the open system as long as the ancillas are initially in a product state, they do not mutually interact and the system collides only once with each of the ancillas. To account for non-Markovian processes in collision models, one has to somehow relax such assumptions, e.g., by allowing the initial reservoir state to be correlated [8,11] or enabling interancillary interactions between next system-ancilla interactions [9,12].…”
Section: Introductionmentioning
confidence: 99%