Simulating macroscopic quantum correlations in linear networks
Abstract
Many developing quantum technologies make use of quantum networks of different types. Even linear quantum networks are nontrivial, as the output photon distributions can be exponentially complex. Despite this, they can still be computationally simulated. The methods used are transformations into equivalent phase-space representations, which can then be treated probabilistically. This provides an exceptionally useful tool for the prediction and validation of experimental results, including decoherence. As well as experiments in Gaussian boson sampling, which are intended to demonstrate quantum computational advantage, these methods are applicable to other types of entangled linear quantum networks as well. This paper provides a tutorial and review of work in this area, to explain quantum phase-space techniques using the positive-P and Wigner distributions.
Cite
@article{arxiv.2112.13014,
title = {Simulating macroscopic quantum correlations in linear networks},
author = {A. Dellios and Peter D. Drummond and Bogdan Opanchuk and Run Yan Teh and Margaret D. Reid},
journal= {arXiv preprint arXiv:2112.13014},
year = {2022}
}
Comments
Tutorial on phase-space methods for efficiently simulating large quantum networks