Multipartite correlations in quantum collision models
Sergey N. Filippov

TL;DR
This paper introduces a tensor network formalism to describe quantum correlations in collision models, capturing both induced and initial correlations, and deriving a memory-kernel master equation to analyze higher-order multipoint correlations.
Contribution
It develops a tensor network approach for quantum collision models, addressing correlations among ancillas and deriving a master equation for complex memory effects.
Findings
Correlations are captured by matrix product states/density operators.
A general tensor diagram for system dynamics is constructed.
Higher-order multipoint correlations are analyzed in the memory kernel.
Abstract
Quantum collision models have proved to be useful for a clear and concise description of many physical phenomena in the field of open quantum systems: thermalization, decoherence, homogenization, nonequilibrium steady state, entanglement generation, simulation of many-body dynamics, quantum thermometry. A challenge in the standard collision model, where the system and many ancillas are all initially uncorrelated, is how to describe quantum correlations among ancillas induced by successive system-ancilla interactions. Another challenge is how to deal with initially correlated ancillas. Here we develop a tensor network formalism to address both challenges. We show that the induced correlations in the standard collision model are well captured by a matrix product state (a matrix product density operator) if the colliding particles are in pure (mixed) states. In the case of the initially…
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