Extreme Quantum Advantage for Rare-Event Sampling

Cina Aghamohammadi,Samuel P. Loomis,J. Mahoney,J. Crutchfield

Published 2017 in arXiv.org

ABSTRACT

We introduce a quantum algorithm for efficient biased sampling of the rare events generated by classical memoryful stochastic processes. We show that this quantum algorithm gives an extreme advantage over known classical biased sampling algorithms in terms of the memory resources required. The quantum memory advantage ranges from polynomial to exponential and when sampling the rare equilibrium configurations of spin systems the quantum advantage diverges.

PUBLICATION RECORD

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-69 of 69 references · Page 1 of 1

CITED BY

Showing 1-19 of 19 citing papers · Page 1 of 1