Distinguishing noisy boson sampling from classical simulations

Giving a convincing experimental evidence of the quantum supremacy over classical simulations is a challenging goal. Noise is considered to be the main problem in such a demonstration, hence it is urgent to understand the effect of noise. Recently found classical algorithms can efficiently approxima...

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Main Author: Valery Shchesnovich
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2021-03-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2021-03-29-423/pdf/
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author Valery Shchesnovich
author_facet Valery Shchesnovich
author_sort Valery Shchesnovich
collection DOAJ
description Giving a convincing experimental evidence of the quantum supremacy over classical simulations is a challenging goal. Noise is considered to be the main problem in such a demonstration, hence it is urgent to understand the effect of noise. Recently found classical algorithms can efficiently approximate, to any small error, the output of boson sampling with finite-amplitude noise. In this work it is shown analytically and confirmed by numerical simulations that one can efficiently distinguish the output distribution of such a noisy boson sampling from the approximations accounting for low-order quantum multiboson interferences, what includes the mentioned classical algorithms. The number of samples required to tell apart the quantum and classical output distributions is strongly affected by the previously unexplored parameter: density of bosons, i.e., the ratio of total number of interfering bosons to number of input ports of interferometer. Such critical dependence is strikingly reminiscent of the quantum-to-classical transition in systems of identical particles, which sets in when the system size scales up while density of particles vanishes.
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spelling doaj.art-e58e8ee809a348c9aa8e84a14476c38f2022-12-21T23:27:23ZengVerein zur Förderung des Open Access Publizierens in den QuantenwissenschaftenQuantum2521-327X2021-03-01542310.22331/q-2021-03-29-42310.22331/q-2021-03-29-423Distinguishing noisy boson sampling from classical simulationsValery ShchesnovichGiving a convincing experimental evidence of the quantum supremacy over classical simulations is a challenging goal. Noise is considered to be the main problem in such a demonstration, hence it is urgent to understand the effect of noise. Recently found classical algorithms can efficiently approximate, to any small error, the output of boson sampling with finite-amplitude noise. In this work it is shown analytically and confirmed by numerical simulations that one can efficiently distinguish the output distribution of such a noisy boson sampling from the approximations accounting for low-order quantum multiboson interferences, what includes the mentioned classical algorithms. The number of samples required to tell apart the quantum and classical output distributions is strongly affected by the previously unexplored parameter: density of bosons, i.e., the ratio of total number of interfering bosons to number of input ports of interferometer. Such critical dependence is strikingly reminiscent of the quantum-to-classical transition in systems of identical particles, which sets in when the system size scales up while density of particles vanishes.https://quantum-journal.org/papers/q-2021-03-29-423/pdf/
spellingShingle Valery Shchesnovich
Distinguishing noisy boson sampling from classical simulations
Quantum
title Distinguishing noisy boson sampling from classical simulations
title_full Distinguishing noisy boson sampling from classical simulations
title_fullStr Distinguishing noisy boson sampling from classical simulations
title_full_unstemmed Distinguishing noisy boson sampling from classical simulations
title_short Distinguishing noisy boson sampling from classical simulations
title_sort distinguishing noisy boson sampling from classical simulations
url https://quantum-journal.org/papers/q-2021-03-29-423/pdf/
work_keys_str_mv AT valeryshchesnovich distinguishingnoisybosonsamplingfromclassicalsimulations