Quantum Computing for Finance: State-of-the-Art and Future Prospects

Quantum Computing for Finance: State-of-the-Art and Future Prospects

This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in finance that are computationally challenging classically and fo...

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Bibliographic Details
Main Authors: Daniel J. Egger, Claudio Gambella, Jakub Marecek, Scott McFaddin, Martin Mevissen, Rudy Raymond, Andrea Simonetto, Stefan Woerner, Elena Yndurain
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Financial management
machine learning algorithms
optimization
quantum computing
simulation
Online Access:https://ieeexplore.ieee.org/document/9222275/

Internet

https://ieeexplore.ieee.org/document/9222275/

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