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  • Interfering trajectories in experimental quantum-enhanced stochastic simulation

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    Author(s)
    Ghafari, Farzad
    Tischler, Nora
    Di Franco, Carlo
    Thompson, Jayne
    Gu, Mile
    Pryde, Geoff J
    Griffith University Author(s)
    Tischler, Nora
    Pryde, Geoff
    Ghafari Jouneghani, Farzad
    Year published
    2019
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    Abstract
    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 ...
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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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    Journal Title
    NATURE COMMUNICATIONS
    Volume
    10
    DOI
    https://doi.org/10.1038/s41467-019-08951-2
    Copyright Statement
    © 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.orglicenses/by/4.0/.
    Subject
    Nanotechnology
    Publication URI
    http://hdl.handle.net/10072/384516
    Collection
    • Journal articles

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