Quantum Computing in High Frequency Trading and Fraud Detection

IF 0.6 4区 工程技术 Q4 Engineering
Apoorva Ganapathy
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引用次数: 5

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.
量子计算在高频交易和欺诈检测中的应用
量子计算在高频交易和欺诈检测中的应用是对量子计算及其在不同行业特别是金融领域应用的分析。它是对传统计算方法的一种进化。量子计算是一个专注于基于量子理论规则创建系统和技术的过程。量子理论描述原子和亚原子水平上的能量。量子计算使用比传统计算机使用的传统比特更先进的量子比特(量子位)。本文的重点是利用量子计算机来解决传统计算机无法有效解决的问题。在金融领域,如银行、保险和高频交易,量子计算机可以通过提供目标和预测分析来帮助优化服务,以降低风险,提供个性化的客户服务,并提供所需的安全框架来防止欺诈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nuclear Engineering International
Nuclear Engineering International 工程技术-核科学技术
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Information not localized
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