Causal asymmetry in a quantum world
Causal asymmetry is one of the great surprises in predictive modeling: The memory required to predict the future differs from the memory required to retrodict the past. There is a privileged temporal direction for modeling a stochastic process where memory costs are minimal. Models operating in the...
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sg-ntu-dr.10356-884122023-02-28T19:35:15Z Causal asymmetry in a quantum world Thompson, Jayne Garner, Andrew J. P. Mahoney, John R. Crutchfield, James P. Vedral, Vlatko Gu, Mile School of Physical and Mathematical Sciences Complexity Institute Quantum Physics Quantum Information DRNTU::Science::Physics Causal asymmetry is one of the great surprises in predictive modeling: The memory required to predict the future differs from the memory required to retrodict the past. There is a privileged temporal direction for modeling a stochastic process where memory costs are minimal. Models operating in the other direction incur an unavoidable memory overhead. Here, we show that this overhead can vanish when quantum models are allowed. Quantum models forced to run in the less-natural temporal direction not only surpass their optimal classical counterparts but also any classical model running in reverse time. This holds even when the memory overhead is unbounded, resulting in quantum models with unbounded memory advantage. 2018-08-29T09:00:49Z 2019-12-06T17:02:46Z 2018-08-29T09:00:49Z 2019-12-06T17:02:46Z 2018 Journal Article Thompson, J., Garner, A. J., Mahoney, J. R., Crutchfield, J. P., Vedral, V., & Gu, M. (2018). Causal Asymmetry in a Quantum World. Physical Review X, 8(3), 031013-. doi:10.1103/PhysRevX.8.031013 https://hdl.handle.net/10356/88412 http://hdl.handle.net/10220/45747 10.1103/PhysRevX.8.031013 en Physical Review X © 2018 The Author(s) (American Physical Society). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. 15 p. application/pdf |
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Quantum Physics Quantum Information DRNTU::Science::Physics Thompson, Jayne Garner, Andrew J. P. Mahoney, John R. Crutchfield, James P. Vedral, Vlatko Gu, Mile Causal asymmetry in a quantum world |
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Causal asymmetry is one of the great surprises in predictive modeling: The memory required to predict the future differs from the memory required to retrodict the past. There is a privileged temporal direction for modeling a stochastic process where memory costs are minimal. Models operating in the other direction incur an unavoidable memory overhead. Here, we show that this overhead can vanish when quantum models are allowed. Quantum models forced to run in the less-natural temporal direction not only surpass their optimal classical counterparts but also any classical model running in reverse time. This holds even when the memory overhead is unbounded, resulting in quantum models with unbounded memory advantage. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Thompson, Jayne Garner, Andrew J. P. Mahoney, John R. Crutchfield, James P. Vedral, Vlatko Gu, Mile |
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Article |
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Thompson, Jayne Garner, Andrew J. P. Mahoney, John R. Crutchfield, James P. Vedral, Vlatko Gu, Mile |
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Thompson, Jayne |
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Causal asymmetry in a quantum world |
title_short |
Causal asymmetry in a quantum world |
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Causal asymmetry in a quantum world |
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Causal asymmetry in a quantum world |
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Causal asymmetry in a quantum world |
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causal asymmetry in a quantum world |
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2018 |
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https://hdl.handle.net/10356/88412 http://hdl.handle.net/10220/45747 |
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