Information Loss Pathways in a Numerically Exact Simulation of a non-Markovian Open Quantum System
Evgeny A. Polyakov, Alexey N. Rubtsov

TL;DR
This paper develops a numerical method to simulate non-Markovian open quantum systems without revivals by introducing the concept of memory channels, which account for irreversible information loss at spectral singularities.
Contribution
It introduces a novel discretization approach that separates observable and virtual quanta, employing stochastic sampling and delay-time representations to eliminate simulation revivals.
Findings
Successfully avoids revivals in simulations of non-Markovian dynamics.
Identifies the role of spectral singularities in information loss.
Provides a new framework for representing virtual quantum states.
Abstract
In the non-Markovian regime, the bath has the memory about the past behavior of the open quantum system. This memory has slowly-decaying power-law tails. Such a long-range character of the memory complicates the description of the resulting real-time dynamics on large time scales. In a numerical simulation, this problem manifests itself in a `revival', a spurious reflected signal which appears after a finite time thus invalidating the simulation. In the present work, we approach this problem and develop a numerical discretization of the bath without revivals. We find that a crucial role is played by the singularities of the bath spectral density (e.g. edges of bands): the memory about the (spectral) behaviour of the open system in the remote past is completely averaged out (forgotten), except an increasingly small vicinity of these singular frequencies. Therefore, we introduce the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
