Diagrammatic method for many-body non-Markovian dynamics: memory effects and entanglement transitions
Giuliano Chiriac\`o, Mikheil Tsitsishvili, Dario Poletti and, Rosario Fazio, Marcello Dalmonte

TL;DR
This paper introduces a diagrammatic approach to analyze non-Markovian quantum many-body dynamics, revealing how memory effects influence trajectory probabilities and entanglement transitions.
Contribution
It develops a systematic, diagrammatic method to unravel non-Markovian dynamics in many-body systems, extending quantum jump techniques beyond single-body cases.
Findings
Non-Markovianity renormalizes quantum trajectory probabilities.
Memory effects act as perturbations on Markovian dynamics.
Non-Markovianity stabilizes the volume law entanglement phase.
Abstract
We study the quantum dynamics of a many-body system subject to coherent evolution and coupled to a non-Markovian bath. We propose a technique to unravel the non-Markovian dynamics in terms of quantum jumps, a connection that was so far only understood for single-body systems. We develop a systematic method to calculate the probability of a quantum trajectory, and formulate it in a diagrammatic structure. We find that non-Markovianity renormalizes the probability of realizing a quantum trajectory, and that memory effects can be interpreted as a perturbation on top of the Markovian dynamics. We show that the diagrammatic structure is akin to that of a Dyson equation, and that the probability of the trajectories can be calculated analytically. We then apply our results to study the measurement-induced entanglement transition in random unitary circuits. We find that non-Markovianity does…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Advanced Thermodynamics and Statistical Mechanics
