Certifying quantum randomness by probability estimation

Yanbao Zhang, Emanuel Knill, Peter Bierhorst

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We introduce probability estimation, a broadly applicable framework to certify randomness in a finite sequence of measurements subject to verifiable physical constraints and with respect to classical side information. Examples include randomness from single-photon measurements and device-independent randomness from Bell tests. Advantages of probability estimation include unproblematic early stopping when goals are achieved, optimal randomness rates, applicability to Bell tests with small violations, and unsurpassed finite-data efficiency. We greatly reduce latencies for producing random bits and formulate an associated rate-tradeoff problem of independent interest. We also show that the latency is determined by an information-theoretic measure of nonlocality rather than the Bell violation.

Original languageEnglish
Article number040304
JournalPhysical Review A
Volume98
Issue number4
DOIs
StatePublished - Oct 31 2018
Externally publishedYes

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