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A Structured Survey of Quantum Computing for the Financial Industry

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  • Franco D. Albareti
  • Thomas Ankenbrand
  • Denis Bieri
  • Esther Hanggi
  • Damian Lotscher
  • Stefan Stettler
  • Marcel Schongens

Abstract

Quantum computers can solve specific problems that are not feasible on "classical" hardware. Harvesting the speed-up provided by quantum computers therefore has the potential to change any industry which uses computation, including finance. First quantum applications for the financial industry involving optimization, simulation, and machine learning problems have already been proposed and applied to use cases such as portfolio management, risk management, and pricing derivatives. This survey reviews platforms, algorithms, methodologies, and use cases of quantum computing for various applications in finance in a structured way. It is aimed at people working in the financial industry and serves to gain an overview of the current development and capabilities and understand the potential of quantum computing in the financial industry.

Suggested Citation

  • Franco D. Albareti & Thomas Ankenbrand & Denis Bieri & Esther Hanggi & Damian Lotscher & Stefan Stettler & Marcel Schongens, 2022. "A Structured Survey of Quantum Computing for the Financial Industry," Papers 2204.10026, arXiv.org.
    • Handle: RePEc:arx:papers:2204.10026
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    File URL: http://arxiv.org/pdf/2204.10026
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    Cited by:

    1. A. Ege Yilmaz & Stefan Stettler & Thomas Ankenbrand & Urs Rhyner, 2023. "Grover Search for Portfolio Selection," Papers 2308.13063, arXiv.org.

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