Effect of memory on the violation of Leggett-Garg inequality
Javid Naikoo, Subhashish Banerjee, R. Srikanth

TL;DR
This paper investigates how memory effects, both Markovian and non-Markovian, influence the violation of Leggett-Garg inequalities in open quantum systems, emphasizing the importance of updated noise superoperators after measurements.
Contribution
It introduces a reduced dynamics approach to analyze Leggett-Garg inequality violations considering memory effects, offering insights into non-Markovian influences without full system-bath modeling.
Findings
Memory effects significantly impact Leggett-Garg violations.
Updated noise superoperators are crucial after measurements.
Non-Markovian processes can alter classical bounds.
Abstract
The Leggett-Garg inequalities impose restrictions on the values taken by some combinations of the two-time correlation functions of observables in order to be explainable by a noninvasive-realist classical model. While in the unitary dynamics, it is straightforward to compute these correlation functions, open system effects bring in subtleties. Specifically, for non-Markovian dynamics, which involves setting up of system-bath correlations, the Leggett-Garg measurements disrupt these correlations, making a full system-bath Hamiltonian approach natural. However, here we point out that the problem can also be dealt with from a reduced dynamics perspective. The key point is that the noise superoperator acting on the system must be suitably updated after measurement interventions. Also considered is the effect of Markovian versus non-Markovian behavior as well as classically non-Markovian…
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