Quantum Computing in High Frequency Trading and Fraud Detection

Author:

Ganapathy Apoorva,

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.

Publisher

ABC Journals

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Quantum Computing-Powered Agricultural Transformation;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-03-18

2. Artificial intelligence, machine learning, deep learning, and blockchain in financial and banking services: a comprehensive review;SSRN Electronic Journal;2024

3. Quantum computing for finance;Nature Reviews Physics;2023-07-11

4. Recent Advances in Cybersecurity and Fraud Detection in Financial Services: A Survey;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08

5. QuCardio: Application of Quantum Machine Learning for Detection of Cardiovascular Diseases;IEEE Access;2023

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