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Title
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Stochastic gradient ascent outperforms gamers in the Quantum Moves game
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Author
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Abstract
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| In a recent work on quantum state preparation, Sørensen and co-workers [Nature (London) 532, 210 (2016)] explore the possibility of using video games to help design quantum control protocols. The authors present a game called Quantum Moves (https://www.scienceathome.org/games/quantum-moves/) in which gamers have to move an atom from A to B by means of optical tweezers. They report that, players succeed where purely numerical optimization fails. Moreover, by harnessing the player strategies, they can outperform the most prominent established numerical methods. The aim of this Rapid Communication is to analyze the problem in detail and show that those claims are untenable. In fact, without any prior knowledge and starting from a random initial seed, a simple stochastic local optimization method finds near-optimal solutions which outperform all players. Counterdiabatic driving can even be used to generate protocols without resorting to numeric optimization. The analysis results in an accurate analytic estimate of the quantum speed limit which, apart from zero-point motion, is shown to be entirely classical in nature. The latter might explain why gamers are reasonably good at the game. A simple modification of the BringHomeWater challenge is proposed to test this hypothesis. |
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Language
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English
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Source (journal)
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Physical review A
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Publication
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2018
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Volume/pages
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97
:4
(2018)
, 6 p.
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Article Reference
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040302(R)
040302
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ISI
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000429772000002
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (open access)
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