Work

Efficient validation of Boson Sampling from binned photon-number distributions

Year: 2024

Type: article

Abstract: In order to substantiate claims of quantum computational advantage, it is crucial to develop efficient methods for validating the experimental data. We propose a test of the correct functioning of a boson sampler with single-photon inputs that is based on how photons distribute among partitions of the output modes. Our method is versatile and encompasses previous validation tests based on bunching phenomena, marginal distributions, and even some suppression laws. We show via theoretical arguments and numerical simulations that binned-mode photon number distributions can be used in practical scenarios to efficiently distinguish ideal boson samplers from those affected by realistic imperfections, especially partial distinguishability of the photons.

Source: Quantum

DOI: 10.22331/q-2024-09-19-1479

Authors: Benoit Seron, Leonardo Novo, Alex Arkhipov, Nicolas J. Cerf

Institutions: Université Libre de Bruxelles, International Iberian Nanotechnology Laboratory

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $215

Funders: European Commission, Fonds De La Recherche Scientifique - FNRS, Fundação para a Ciência e a Tecnologia