A Method for Validating a Boson Sampler Based on a Radial Function in the Space of Observable States

For the boson sampling problem, a validation method is proposed based on the analysis of the space of measured Fock states expressed as strings of non-negative integers. The method is based on introducing a radial function $${{G}_{{{{p}_{0}}}}}$$ (r) in the space of such strings with an l1-metric. The function $${{G}_{{{{p}_{0}}}}}$$ (r) depends on the internal structure of the collected statistics for strings of integers and will therefore differ significantly for different samplers. The method is tested for samplers with Fock, coherent, and thermal states, as well as for distinguishable particles in the nonunit quantum efficiency regime of the measuring photodetectors. It is shown that for a photon loss probability ploss ≤ 0.1 at the photodetector, the radial function of a sampler with Fock states is qualitatively different from that of samplers with coherent and thermal states. Knowledge of $${{G}_{{{{p}_{0}}}}}$$ (r) in this case is sufficient to qualitatively distinguish a boson sampler from those described above. For ploss ≥ 0.2, the radial functions of the Fock, thermal, and coherent samplers may be superficially similar. Validation in this case is only possible if, in addition to the radial function, the ploss value is known. A statistical test is used for validation. The radial functions $${{G}_{{{{p}_{0}}}}}$$ (r) of a Fock sampler and a sampler with distinguishable particles are qualitatively indistinguishable for any ploss loss level. Therefore, ploss must be known to statistically distinguish these samplers.

Authors

Institutions

Publication Details

Journal
Bulletin of the Lebedev Physics Institute
Published
2025-12-01
DOI
https://doi.org/10.3103/s1068335625603954
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Method for Validating a Boson Sampler Based on a Radial Function in the Space of Observable States

A. N. Rubtsov, N. A. Rozhkov
Bulletin of the Lebedev Physics Institute
Quantum Information and Cryptography
article

A Method for Validating a Boson Sampler Based on a Radial Function in the Space of Observable States

A. N. Rubtsov, N. A. Rozhkov
article en

Abstract

For the boson sampling problem, a validation method is proposed based on the analysis of the space of measured Fock states expressed as strings of non-negative integers. The method is based on introducing a radial function $${{G}_{{{{p}_{0}}}}}$$ (r) in the space of such strings with an l1-metric. The function $${{G}_{{{{p}_{0}}}}}$$ (r) depends on the internal structure of the collected statistics for strings of integers and will therefore differ significantly for different samplers. The method is tested for samplers with Fock, coherent, and thermal states, as well as for distinguishable particles in the nonunit quantum efficiency regime of the measuring photodetectors. It is shown that for a photon loss probability ploss ≤ 0.1 at the photodetector, the radial function of a sampler with Fock states is qualitatively different from that of samplers with coherent and thermal states. Knowledge of $${{G}_{{{{p}_{0}}}}}$$ (r) in this case is sufficient to qualitatively distinguish a boson sampler from those described above. For ploss ≥ 0.2, the radial functions of the Fock, thermal, and coherent samplers may be superficially similar. Validation in this case is only possible if, in addition to the radial function, the ploss value is known. A statistical test is used for validation. The radial functions $${{G}_{{{{p}_{0}}}}}$$ (r) of a Fock sampler and a sampler with distinguishable particles are qualitatively indistinguishable for any ploss loss level. Therefore, ploss must be known to statistically distinguish these samplers.

Bulletin of the Lebedev Physics InstituteVol. 52(S8)
Moscow Institute of Physics and Technology (RU), Moscow Power Engineering Institute (RU), Lomonosov Moscow State University (RU), Russian Quantum Center (RU), Moscow Aviation Institute (RU)
Openalex Percentile: Top 17%
Quantum Information and Cryptography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.