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An experimental quantum Bernoulli factory
There has been a concerted effort to identify problems computable with quantum technology, which are intractable with classical technology or require far fewer resources to compute. Recently, randomness processing in a Bernoulli factory has been identified as one such task. Here, we report two quant...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357723/ https://www.ncbi.nlm.nih.gov/pubmed/30746457 http://dx.doi.org/10.1126/sciadv.aau6668 |
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author | Patel, Raj B. Rudolph, Terry Pryde, Geoff J. |
author_facet | Patel, Raj B. Rudolph, Terry Pryde, Geoff J. |
author_sort | Patel, Raj B. |
collection | PubMed |
description | There has been a concerted effort to identify problems computable with quantum technology, which are intractable with classical technology or require far fewer resources to compute. Recently, randomness processing in a Bernoulli factory has been identified as one such task. Here, we report two quantum photonic implementations of a Bernoulli factory, one using quantum coherence and single-qubit measurements and the other one using quantum coherence and entangling measurements of two qubits. We show that the former consumes three orders of magnitude fewer resources than the best-known classical method, while entanglement offers a further fivefold reduction. These concepts may provide a means for quantum-enhanced performance in the simulation of stochastic processes and sampling tasks. |
format | Online Article Text |
id | pubmed-6357723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63577232019-02-11 An experimental quantum Bernoulli factory Patel, Raj B. Rudolph, Terry Pryde, Geoff J. Sci Adv Research Articles There has been a concerted effort to identify problems computable with quantum technology, which are intractable with classical technology or require far fewer resources to compute. Recently, randomness processing in a Bernoulli factory has been identified as one such task. Here, we report two quantum photonic implementations of a Bernoulli factory, one using quantum coherence and single-qubit measurements and the other one using quantum coherence and entangling measurements of two qubits. We show that the former consumes three orders of magnitude fewer resources than the best-known classical method, while entanglement offers a further fivefold reduction. These concepts may provide a means for quantum-enhanced performance in the simulation of stochastic processes and sampling tasks. American Association for the Advancement of Science 2019-01-25 /pmc/articles/PMC6357723/ /pubmed/30746457 http://dx.doi.org/10.1126/sciadv.aau6668 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Patel, Raj B. Rudolph, Terry Pryde, Geoff J. An experimental quantum Bernoulli factory |
title | An experimental quantum Bernoulli factory |
title_full | An experimental quantum Bernoulli factory |
title_fullStr | An experimental quantum Bernoulli factory |
title_full_unstemmed | An experimental quantum Bernoulli factory |
title_short | An experimental quantum Bernoulli factory |
title_sort | experimental quantum bernoulli factory |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357723/ https://www.ncbi.nlm.nih.gov/pubmed/30746457 http://dx.doi.org/10.1126/sciadv.aau6668 |
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