Gaussian boson sampling at finite temperature
Gabriele Bressanini, Hyukjoon Kwon, M.S. Kim

TL;DR
This paper analyzes how thermal noise impacts the classical simulability of Gaussian boson sampling, establishing conditions under which quantum advantage is lost due to temperature-induced classicality.
Contribution
It provides the first detailed analysis of finite temperature effects on GBS, deriving inequalities for classical simulability and identifying a threshold temperature for quantum advantage loss.
Findings
Thermal noise tightens constraints on quantum advantage.
Existence of a temperature threshold where quantum sampling becomes classically simulable.
Disappearance of non-classical properties correlates with classical simulability.
Abstract
Gaussian boson sampling (GBS) is a promising candidate for an experimental demonstration of quantum advantage using photons. However, sufficiently large noise might hinder a GBS implementation from entering the regime where quantum speedup is achievable. Here, we investigate how thermal noise affects the classical intractability of generic quantum optical sampling experiments, GBS being a particular instance of the latter. We do so by establishing sufficient conditions for an efficient simulation to be feasible, expressed in the form of inequalities between the relevant parameters that characterize the system and its imperfections. We demonstrate that the addition of thermal noise has the effect of tightening the constraints on the remaining noise parameters, required to show quantum advantage. Furthermore, we show that there exist a threshold temperature at which any quantum sampling…
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Taxonomy
TopicsQuantum Information and Cryptography · Spectroscopy and Quantum Chemical Studies · Quantum Mechanics and Applications
