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Autori principali: Khan, Faisal Shah, Linke, Norbert M., Than, Anton Trong, Baron, Dror
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2501.17189
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author Khan, Faisal Shah
Linke, Norbert M.
Than, Anton Trong
Baron, Dror
author_facet Khan, Faisal Shah
Linke, Norbert M.
Than, Anton Trong
Baron, Dror
contents Quantum games, like quantum algorithms, exploit quantum entanglement to establish strong correlations between strategic player actions. This paper introduces quantum game-theoretic models applied to trading and demonstrates their implementation on an ion-trap quantum computer. The results showcase a quantum advantage, previously known only theoretically, realized as higher-paying market Nash equilibria. This advantage could help uncover alpha in trading strategies, defined as excess returns compared to established benchmarks. These findings suggest that quantum computing could significantly influence the development of financial strategies.
format Preprint
id arxiv_https___arxiv_org_abs_2501_17189
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Quantum Advantage in Trading: A Game-Theoretic Approach
Khan, Faisal Shah
Linke, Norbert M.
Than, Anton Trong
Baron, Dror
Quantum Physics
Theoretical Economics
Quantum games, like quantum algorithms, exploit quantum entanglement to establish strong correlations between strategic player actions. This paper introduces quantum game-theoretic models applied to trading and demonstrates their implementation on an ion-trap quantum computer. The results showcase a quantum advantage, previously known only theoretically, realized as higher-paying market Nash equilibria. This advantage could help uncover alpha in trading strategies, defined as excess returns compared to established benchmarks. These findings suggest that quantum computing could significantly influence the development of financial strategies.
title Quantum Advantage in Trading: A Game-Theoretic Approach
topic Quantum Physics
Theoretical Economics
url https://arxiv.org/abs/2501.17189