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一个量子要么全赢要么全输游戏:凯利准则在自旋中的应用。

A Quantum Double-or-Nothing Game: An Application of the Kelly Criterion to Spins.

作者信息

Meister Bernhard K, Price Henry C W

机构信息

FastEagle Holdings, 1200 Vienna, Austria.

Centre for Complexity Science, Physics Department, Imperial College London, London SW7 2AZ, UK.

出版信息

Entropy (Basel). 2024 Jan 12;26(1):66. doi: 10.3390/e26010066.

Abstract

A quantum game is constructed from a sequence of independent and identically polarised spin-1/2 particles. Information about their possible polarisation is provided to a bettor, who can wager in successive double-or-nothing games on measurement outcomes. The choice at each stage is how much to bet and in which direction to measure the individual particles. The portfolio's growth rate rises as the measurements are progressively adjusted in response to the accumulated information. Wealth is amassed through astute betting. The optimal classical strategy is called the Kelly criterion and plays a fundamental role in portfolio theory and consequently quantitative finance. The optimal quantum strategy is determined numerically and shown to differ from the classical strategy. This paper contributes to the development of quantum finance, as aspects of portfolio optimisation are extended to the quantum realm. Intriguing trade-offs between information gain and portfolio growth are described.

摘要

量子博弈由一系列独立且极化方向相同的自旋1/2粒子构成。有关这些粒子可能极化方向的信息会提供给投注者,投注者可在连续的翻倍或归零博弈中就测量结果进行投注。每个阶段的选择在于投注多少以及沿哪个方向测量单个粒子。随着测量根据累积信息逐步调整,投资组合的增长率会上升。财富通过精明的投注积累起来。最优经典策略称为凯利准则,在投资组合理论以及定量金融中起着基础性作用。最优量子策略通过数值计算确定,结果表明它与经典策略不同。本文为量子金融的发展做出了贡献,因为投资组合优化的各个方面被扩展到了量子领域。文中描述了信息增益与投资组合增长之间有趣的权衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ea6/10813872/161492a19099/entropy-26-00066-g001.jpg

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