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Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud

High-frequency trading (HFT) offers an excellent use case and a potential killer application of the commercially available, first generation quasi-quantum computers. To this end, we offer here a simple game-theoretic model of HFT as the famous two player game, Prisoner’s Dilemma. We explore the impl...

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Autores principales: Khan, Faisal Shah, Bao, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596374/
https://www.ncbi.nlm.nih.gov/pubmed/34805975
http://dx.doi.org/10.3389/frai.2021.769392
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author Khan, Faisal Shah
Bao, Ning
author_facet Khan, Faisal Shah
Bao, Ning
author_sort Khan, Faisal Shah
collection PubMed
description High-frequency trading (HFT) offers an excellent use case and a potential killer application of the commercially available, first generation quasi-quantum computers. To this end, we offer here a simple game-theoretic model of HFT as the famous two player game, Prisoner’s Dilemma. We explore the implementation of HFT as an instance of Prisoner’s Dilemma on the (quasi) quantum cloud using the Eisert, Wilkens, and Lewenstein quantum mediated communication protocol, and how this implementation can not only increase transaction speed but also improve the lot of the players in HFT. Using cooperative game-theoretic reasoning, we also note that in the near future when the internet is properly quantum, players will be able to achieve Pareto-optimality in HFT as an instance of reinforced machine learning.
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spelling pubmed-85963742021-11-18 Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud Khan, Faisal Shah Bao, Ning Front Artif Intell Artificial Intelligence High-frequency trading (HFT) offers an excellent use case and a potential killer application of the commercially available, first generation quasi-quantum computers. To this end, we offer here a simple game-theoretic model of HFT as the famous two player game, Prisoner’s Dilemma. We explore the implementation of HFT as an instance of Prisoner’s Dilemma on the (quasi) quantum cloud using the Eisert, Wilkens, and Lewenstein quantum mediated communication protocol, and how this implementation can not only increase transaction speed but also improve the lot of the players in HFT. Using cooperative game-theoretic reasoning, we also note that in the near future when the internet is properly quantum, players will be able to achieve Pareto-optimality in HFT as an instance of reinforced machine learning. Frontiers Media S.A. 2021-11-03 /pmc/articles/PMC8596374/ /pubmed/34805975 http://dx.doi.org/10.3389/frai.2021.769392 Text en Copyright © 2021 Khan and Bao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Khan, Faisal Shah
Bao, Ning
Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud
title Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud
title_full Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud
title_fullStr Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud
title_full_unstemmed Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud
title_short Quantum Prisoner’s Dilemma and High Frequency Trading on the Quantum Cloud
title_sort quantum prisoner’s dilemma and high frequency trading on the quantum cloud
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596374/
https://www.ncbi.nlm.nih.gov/pubmed/34805975
http://dx.doi.org/10.3389/frai.2021.769392
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