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Photonic quantum algorithm for Monte Carlo integration

Quantum Physics 2018-09-10 v1

Abstract

We present a continuous-variable photonic quantum algorithm for the Monte Carlo evaluation of multi-dimensional integrals. Our algorithm encodes n-dimensional integration into n+3 modes and can provide a quadratic speedup in runtime compared to the classical Monte Carlo approach. The speedup is achieved by developing a continuous-variable adaptation of amplitude estimation. We provide an error analysis for each element of the algorithm and account for the effects of finite squeezing. Our findings show that Monte Carlo integration is a natural use case for algorithms using the continuous-variable setting.

Keywords

Cite

@article{arxiv.1809.02579,
  title  = {Photonic quantum algorithm for Monte Carlo integration},
  author = {Patrick Rebentrost and Brajesh Gupt and Thomas R. Bromley},
  journal= {arXiv preprint arXiv:1809.02579},
  year   = {2018}
}

Comments

20 pages, 3 figures

R2 v1 2026-06-23T03:58:16.762Z