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Interfering trajectories in experimental quantum-enhanced stochastic simulation

Simulations of stochastic processes play an important role in the quantitative sciences, enabling the characterisation of complex systems. Recent work has established a quantum advantage in stochastic simulation, leading to quantum devices that execute a simulation using less memory than possible by...

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Autores principales: Ghafari, Farzad, Tischler, Nora, Di Franco, Carlo, Thompson, Jayne, Gu, Mile, Pryde, Geoff J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456595/
https://www.ncbi.nlm.nih.gov/pubmed/30967533
http://dx.doi.org/10.1038/s41467-019-08951-2
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author Ghafari, Farzad
Tischler, Nora
Di Franco, Carlo
Thompson, Jayne
Gu, Mile
Pryde, Geoff J.
author_facet Ghafari, Farzad
Tischler, Nora
Di Franco, Carlo
Thompson, Jayne
Gu, Mile
Pryde, Geoff J.
author_sort Ghafari, Farzad
collection PubMed
description Simulations of stochastic processes play an important role in the quantitative sciences, enabling the characterisation of complex systems. Recent work has established a quantum advantage in stochastic simulation, leading to quantum devices that execute a simulation using less memory than possible by classical means. To realise this advantage it is essential that the memory register remains coherent, and coherently interacts with the processor, allowing the simulator to operate over many time steps. Here we report a multi-time-step experimental simulation of a stochastic process using less memory than the classical limit. A key feature of the photonic quantum information processor is that it creates a quantum superposition of all possible future trajectories that the system can evolve into. This superposition allows us to introduce, and demonstrate, the idea of comparing statistical futures of two classical processes via quantum interference. We demonstrate interference of two 16-dimensional quantum states, representing statistical futures of our process, with a visibility of 0.96 ± 0.02.
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spelling pubmed-64565952019-04-11 Interfering trajectories in experimental quantum-enhanced stochastic simulation Ghafari, Farzad Tischler, Nora Di Franco, Carlo Thompson, Jayne Gu, Mile Pryde, Geoff J. Nat Commun Article Simulations of stochastic processes play an important role in the quantitative sciences, enabling the characterisation of complex systems. Recent work has established a quantum advantage in stochastic simulation, leading to quantum devices that execute a simulation using less memory than possible by classical means. To realise this advantage it is essential that the memory register remains coherent, and coherently interacts with the processor, allowing the simulator to operate over many time steps. Here we report a multi-time-step experimental simulation of a stochastic process using less memory than the classical limit. A key feature of the photonic quantum information processor is that it creates a quantum superposition of all possible future trajectories that the system can evolve into. This superposition allows us to introduce, and demonstrate, the idea of comparing statistical futures of two classical processes via quantum interference. We demonstrate interference of two 16-dimensional quantum states, representing statistical futures of our process, with a visibility of 0.96 ± 0.02. Nature Publishing Group UK 2019-04-09 /pmc/articles/PMC6456595/ /pubmed/30967533 http://dx.doi.org/10.1038/s41467-019-08951-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ghafari, Farzad
Tischler, Nora
Di Franco, Carlo
Thompson, Jayne
Gu, Mile
Pryde, Geoff J.
Interfering trajectories in experimental quantum-enhanced stochastic simulation
title Interfering trajectories in experimental quantum-enhanced stochastic simulation
title_full Interfering trajectories in experimental quantum-enhanced stochastic simulation
title_fullStr Interfering trajectories in experimental quantum-enhanced stochastic simulation
title_full_unstemmed Interfering trajectories in experimental quantum-enhanced stochastic simulation
title_short Interfering trajectories in experimental quantum-enhanced stochastic simulation
title_sort interfering trajectories in experimental quantum-enhanced stochastic simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456595/
https://www.ncbi.nlm.nih.gov/pubmed/30967533
http://dx.doi.org/10.1038/s41467-019-08951-2
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