Modeling the unphysical pseudomode model with physical ensembles: simulation, mitigation, and restructuring of non-Markovian quantum noise
Mauro Cirio, Si Luo, Pengfei Liang, Franco Nori, Neill Lambert

TL;DR
This paper proposes a method to simulate unphysical pseudomode models of non-Markovian quantum noise using physical ensembles, enabling better quantum simulations, noise mitigation, and bath restructuring.
Contribution
It introduces an extrapolation technique to reproduce unphysical pseudomode effects with physical systems, facilitating advanced quantum simulations and noise control.
Findings
Effective simulation of non-Markovian environments using physical ensembles.
Mitigation of unwanted non-Markovian noise in quantum devices.
Ability to restructure properties of physical baths, such as temperature.
Abstract
The influence of a Gaussian environment on a quantum system can be described by effectively replacing the continuum with a discrete set of ancillary quantum and classical degrees of freedom. This defines a pseudomode model which can be used to classically simulate the reduced system dynamics. Here, we consider an alternative point of view and analyze the potential benefits of an analog or digital quantum simulation of the pseudomode model itself. Superficially, such a direct experimental implementation is, in general, impossible due to the unphysical properties of the effective degrees of freedom involved. However, we show that the effects of the unphysical pseudomode model can still be reproduced using measurement results over an ensemble of physical systems involving ancillary harmonic modes and an optional stochastic driving field. This is done by introducing an extrapolation…
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Taxonomy
TopicsQuantum Information and Cryptography · Spectroscopy and Quantum Chemical Studies · Quantum and electron transport phenomena
