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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sg-ntu-dr.10356-844452023-02-28T19:33:15Z Interfering trajectories in experimental quantum-enhanced stochastic simulation Ghafari, Farzad Tischler, Nora Di Franco, Carlo Thompson, Jayne Gu, Mile Pryde, Geoff J. School of Physical and Mathematical Sciences Complexity Institute Quantum Science::Physics 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 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. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Published version 2019-08-27T02:28:56Z 2019-12-06T15:45:21Z 2019-08-27T02:28:56Z 2019-12-06T15:45:21Z 2019 Journal Article Ghafari, F., Tischler, N., Di Franco, C., Thompson, J., Gu, M., & Pryde, G. J. (2019). Interfering trajectories in experimental quantum-enhanced stochastic simulation. Nature Communications, 10, 1630-. doi:10.1038/s41467-019-08951-2 https://hdl.handle.net/10356/84445 http://hdl.handle.net/10220/49784 10.1038/s41467-019-08951-2 en Nature Communications © 2019 The Author(s). 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/ 8 p. application/pdf |
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Quantum Science::Physics Stochastic Simulation Ghafari, Farzad Tischler, Nora Di Franco, Carlo Thompson, Jayne Gu, Mile Pryde, Geoff J. Interfering trajectories in experimental quantum-enhanced stochastic simulation |
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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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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Ghafari, Farzad Tischler, Nora Di Franco, Carlo Thompson, Jayne Gu, Mile Pryde, Geoff J. |
format |
Article |
author |
Ghafari, Farzad Tischler, Nora Di Franco, Carlo Thompson, Jayne Gu, Mile Pryde, Geoff J. |
author_sort |
Ghafari, Farzad |
title |
Interfering trajectories in experimental quantum-enhanced stochastic simulation |
title_short |
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_sort |
interfering trajectories in experimental quantum-enhanced stochastic simulation |
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2019 |
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https://hdl.handle.net/10356/84445 http://hdl.handle.net/10220/49784 |
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1759854415765831680 |