Quantum computing for finance
- URL: http://arxiv.org/abs/2307.11230v1
- Date: Thu, 20 Jul 2023 20:55:11 GMT
- Title: Quantum computing for finance
- Authors: Dylan Herman, Cody Googin, Xiaoyuan Liu, Yue Sun, Alexey Galda, Ilya
Safro, Marco Pistoia, Yuri Alexeev
- Abstract summary: Quantum computers are expected to surpass the computational capabilities of classical computers and have a transformative impact on numerous industry sectors.
This Review is aimed at physicists, so it outlines the classical techniques used by the financial industry and discusses the potential advantages and limitations of quantum techniques.
- Score: 15.341098545888944
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum computers are expected to surpass the computational capabilities of
classical computers and have a transformative impact on numerous industry
sectors. We present a comprehensive summary of the state of the art of quantum
computing for financial applications, with particular emphasis on stochastic
modeling, optimization, and machine learning. This Review is aimed at
physicists, so it outlines the classical techniques used by the financial
industry and discusses the potential advantages and limitations of quantum
techniques. Finally, we look at the challenges that physicists could help
tackle.
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