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Quantum Prisoner's Dilemma and High Frequency Trading on the Quantum Cloud
1Dark Star Quantum Lab, Raliegh, NC, United States.
Frontiers in Artificial Intelligence
|November 22, 2021
Summary
High-frequency trading (HFT) can be modeled using quantum game theory. Implementing HFT on quantum computers may increase transaction speed and improve player outcomes.
Area of Science:
- Quantum Computing
- Game Theory
- Financial Markets
Background:
- High-frequency trading (HFT) presents a significant application for early-generation quantum computing.
- Game theory, specifically the Prisoner's Dilemma, offers a framework for modeling HFT interactions.
Purpose of the Study:
- To model High-frequency trading (HFT) as a Prisoner's Dilemma game.
- To explore the implementation of HFT on quantum computing platforms.
- To analyze the potential benefits of quantum-enhanced HFT.
Main Methods:
- Developed a game-theoretic model of HFT using the Prisoner's Dilemma.
- Utilized the Eisert, Wilkens, and Lewenstein quantum mediated communication protocol for implementation on a quantum cloud.
- Applied cooperative game-theoretic reasoning and concepts of reinforced machine learning.
Main Results:
- Demonstrated that quantum implementation can enhance transaction speeds in HFT.
- Showed that quantum-mediated HFT can lead to improved outcomes for participants.
- Identified the potential for Pareto-optimality in future quantum internet environments.
Conclusions:
- Quantum computing offers a promising avenue for advancing High-frequency trading (HFT).
- Quantum-mediated communication protocols can optimize HFT strategies.
- Future quantum networks may enable more efficient and equitable financial markets through reinforced learning.
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