English

A Statistical Benchmark for BosonSampling

Quantum Physics 2016-03-30 v1 Disordered Systems and Neural Networks Data Analysis, Statistics and Probability

Abstract

Computing the state of a quantum mechanical many-body system composed of indistinguishable particles distributed over a multitude of modes is one of the paradigmatic test cases of computational complexity theory: Beyond well-understood quantum statistical effects, the coherent superposition of many-particle amplitudes rapidly overburdens classical computing devices - essentially by creating extremely complicated interference patterns, which also challenge experimental resolution. With the advent of controlled many-particle interference experiments, optical set-ups that can efficiently probe many-boson wave functions - baptised BosonSamplers - have therefore been proposed as efficient quantum simulators which outperform any classical computing device, and thereby challenge the extended Church-Turing thesis, one of the fundamental dogmas of computer science. However, as in all experimental quantum simulations of truly complex systems, there remains one crucial problem: How to certify that a given experimental measurement record is an unambiguous result of sampling bosons rather than fermions or distinguishable particles, or of uncontrolled noise? In this contribution, we describe a statistical signature of many-body quantum interference, which can be used as an experimental (and classically computable) benchmark for BosonSampling.

Keywords

Cite

@article{arxiv.1410.8547,
  title  = {A Statistical Benchmark for BosonSampling},
  author = {Mattia Walschaers and Jack Kuipers and Juan-Diego Urbina and Klaus Mayer and Malte C. Tichy and Klaus Richter and Andreas Buchleitner},
  journal= {arXiv preprint arXiv:1410.8547},
  year   = {2016}
}

Comments

9 pages, 5 figures

R2 v1 2026-06-22T06:42:36.780Z