Related papers: Quantum computing for finance

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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