Practical unitary simulator for non-markovian complex processes
Stochastic processes are as ubiquitous throughout the quantitative sciences as they are notorious for being difficult to simulate and predict. In this Letter, we propose a unitary quantum simulator for discrete-time stochastic processes which requires less internal memory than any classical analogue...
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sg-ntu-dr.10356-876792023-02-28T19:34:47Z Practical unitary simulator for non-markovian complex processes Binder, Felix Christoph Thompson, Jayne Gu, Mile School of Physical and Mathematical Sciences Complexity Institute Quantum Channels Quantum Algorithms Stochastic processes are as ubiquitous throughout the quantitative sciences as they are notorious for being difficult to simulate and predict. In this Letter, we propose a unitary quantum simulator for discrete-time stochastic processes which requires less internal memory than any classical analogue throughout the simulation. The simulator’s internal memory requirements equal those of the best previous quantum models. However, in contrast to previous models, it only requires a (small) finite-dimensional Hilbert space. Moreover, since the simulator operates unitarily throughout, it avoids any unnecessary information loss. We provide a stepwise construction for simulators for a large class of stochastic processes hence directly opening the possibility for experimental implementations with current platforms for quantum computation. The results are illustrated for an example process. NRF (Natl Research Foundation, S’pore) Published version 2018-08-07T04:59:17Z 2019-12-06T16:47:06Z 2018-08-07T04:59:17Z 2019-12-06T16:47:06Z 2018 Journal Article Binder, F. C., Thompson, J., & Gu, M. (2018). Practical Unitary Simulator for Non-Markovian Complex Processes. Physical Review Letters, 120(24), 240502-. 0031-9007 https://hdl.handle.net/10356/87679 http://hdl.handle.net/10220/45507 10.1103/PhysRevLett.120.240502 en Physical Review Letters © 2018 American Physical Society. This paper was published in Physical Review Letters and is made available as an electronic reprint (preprint) with permission of American Physical Society. The published version is available at: [http://dx.doi.org/10.1103/PhysRevLett.120.240502]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 6 p. application/pdf |
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Quantum Channels Quantum Algorithms Binder, Felix Christoph Thompson, Jayne Gu, Mile Practical unitary simulator for non-markovian complex processes |
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Stochastic processes are as ubiquitous throughout the quantitative sciences as they are notorious for being difficult to simulate and predict. In this Letter, we propose a unitary quantum simulator for discrete-time stochastic processes which requires less internal memory than any classical analogue throughout the simulation. The simulator’s internal memory requirements equal those of the best previous quantum models. However, in contrast to previous models, it only requires a (small) finite-dimensional Hilbert space. Moreover, since the simulator operates unitarily throughout, it avoids any unnecessary information loss. We provide a stepwise construction for simulators for a large class of stochastic processes hence directly opening the possibility for experimental implementations with current platforms for quantum computation. The results are illustrated for an example process. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Binder, Felix Christoph Thompson, Jayne Gu, Mile |
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Article |
author |
Binder, Felix Christoph Thompson, Jayne Gu, Mile |
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Binder, Felix Christoph |
title |
Practical unitary simulator for non-markovian complex processes |
title_short |
Practical unitary simulator for non-markovian complex processes |
title_full |
Practical unitary simulator for non-markovian complex processes |
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Practical unitary simulator for non-markovian complex processes |
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Practical unitary simulator for non-markovian complex processes |
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practical unitary simulator for non-markovian complex processes |
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2018 |
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https://hdl.handle.net/10356/87679 http://hdl.handle.net/10220/45507 |
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1759857870432632832 |