Quantum Computing in High Frequency Trading and Fraud Detection

Authors

  • Apoorva Ganapathy Adobe Systems

DOI:

https://doi.org/10.18034/ei.v9i2.549

Keywords:

Quantum Computing, Qubits, Fraud Detection, Atom, Entanglement

Abstract

‘Quantum Computing in high-frequency trading and fraud detection is an analysis of quantum computing and how it can be used by the different industries especially finance. It is an evolution of computing from the traditional computing method. Quantum computing is a process that is concentrated on creating systems and technology based on quantum theory rules. Quantum theory describes the energy on atomic and subatomic levels. Quantum computing uses quantum bits (qubits) which are more advanced than the traditional bits used by traditional computers. This article focuses on deploying quantum computers in solving problems that cannot be efficiently solved using traditional computers. In the finance sector, such as banking, insurance, and high-frequency trading, quantum computers can help optimize service by providing targeting and predictive analytics to reduce risk, provide personalized customer service, and provide the needed security framework against fraud.

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Author Biography

  • Apoorva Ganapathy, Adobe Systems

    Senior Developer, Adobe Systems, San Jose, California, USA

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Published

2021-07-01

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Section

Peer Reviewed Articles

How to Cite

Quantum Computing in High Frequency Trading and Fraud Detection. (2021). Engineering International, 9(2), 61-72. https://doi.org/10.18034/ei.v9i2.549

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