Quantum Advantage in Simulating Stochastic Processes
We investigate the problem of simulating classical stochastic processes through quantum dynamics and present three scenarios where memory or time quantum advantages arise. First, by introducing and analyzing a quantum version of the embeddability problem for stochastic matrices, we show that quantum...
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American Physical Society
2021
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oai:doaj.org-article:e92e2ac15028456db78c0235c5816e962021-12-02T18:31:08ZQuantum Advantage in Simulating Stochastic Processes10.1103/PhysRevX.11.0210192160-3308https://doaj.org/article/e92e2ac15028456db78c0235c5816e962021-04-01T00:00:00Zhttp://doi.org/10.1103/PhysRevX.11.021019http://doi.org/10.1103/PhysRevX.11.021019https://doaj.org/toc/2160-3308We investigate the problem of simulating classical stochastic processes through quantum dynamics and present three scenarios where memory or time quantum advantages arise. First, by introducing and analyzing a quantum version of the embeddability problem for stochastic matrices, we show that quantum memoryless dynamics can simulate classical processes that necessarily require memory. Second, by extending the notion of space-time cost of a stochastic process P to the quantum domain, we prove an advantage of the quantum cost of simulating P over the classical cost. Third, we demonstrate that the set of classical states accessible via Markovian master equations with quantum controls is larger than the set of those accessible with classical controls, leading, e.g., to a potential advantage in cooling protocols.Kamil KorzekwaMatteo LostaglioAmerican Physical SocietyarticlePhysicsQC1-999ENPhysical Review X, Vol 11, Iss 2, p 021019 (2021) |
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Physics QC1-999 Kamil Korzekwa Matteo Lostaglio Quantum Advantage in Simulating Stochastic Processes |
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We investigate the problem of simulating classical stochastic processes through quantum dynamics and present three scenarios where memory or time quantum advantages arise. First, by introducing and analyzing a quantum version of the embeddability problem for stochastic matrices, we show that quantum memoryless dynamics can simulate classical processes that necessarily require memory. Second, by extending the notion of space-time cost of a stochastic process P to the quantum domain, we prove an advantage of the quantum cost of simulating P over the classical cost. Third, we demonstrate that the set of classical states accessible via Markovian master equations with quantum controls is larger than the set of those accessible with classical controls, leading, e.g., to a potential advantage in cooling protocols. |
format |
article |
author |
Kamil Korzekwa Matteo Lostaglio |
author_facet |
Kamil Korzekwa Matteo Lostaglio |
author_sort |
Kamil Korzekwa |
title |
Quantum Advantage in Simulating Stochastic Processes |
title_short |
Quantum Advantage in Simulating Stochastic Processes |
title_full |
Quantum Advantage in Simulating Stochastic Processes |
title_fullStr |
Quantum Advantage in Simulating Stochastic Processes |
title_full_unstemmed |
Quantum Advantage in Simulating Stochastic Processes |
title_sort |
quantum advantage in simulating stochastic processes |
publisher |
American Physical Society |
publishDate |
2021 |
url |
https://doaj.org/article/e92e2ac15028456db78c0235c5816e96 |
work_keys_str_mv |
AT kamilkorzekwa quantumadvantageinsimulatingstochasticprocesses AT matteolostaglio quantumadvantageinsimulatingstochasticprocesses |
_version_ |
1718378012905308160 |