量子计算技术在金融领域的应用探索

量子计算是一种遵循量子力学规律调控量子信息单元进行计算的新型计算机制，被认为在特定算法上可实现并行处理能力，对信息领域技术变革有着重要意义。针对近年来量子计算在金融领域应用进展进行梳理总结。首先，从量子计算基本原理出发阐述了量子比特、量子逻辑门、量子线路等基础理论，重点分析了实现量子计算几种技术路线优缺点；其次，归纳总结了量子计算在衍生品定价、投资组合优化、风险计量、欺诈检测和市场预测方面算法研究进展，以及量子金融软件开发的主要组成架构；最后，分析了目前量子计算技术在金融领域应用发展的三大挑战：人才问题、效率问题、合规性问题，并对未来发展趋势进行展望，为相关领域研究提供参考。

Application exploration of quantum computing technology in financial field

Quantum computing is a new computing mechanism that follows the laws of quantum mechanics to control information units for calculations. It is believed to be able to achieve parallel processing capabilities on specific algorithms and has a great significance for the technological revolution in the information field. This paper summarized the progress of quantum computing applications in the financial field in recent years. Firstly, from the basic principles, it analyzed basic theories of qubits, quantum logic gates, quantum circuits, with a focus on analyzing the advantages and disadvantages of several technical routes for quantum hardware. Secondly, it summarized the research progress of quantum algorithms in derivative pricing, portfolio optimization, risk measurement, fraud detection, and market prediction, as well as the main components and architectures of quantum finance software. Finally, it dissscused the talent, efficiency, and compliance challenges in the application and development of quantum computing in the financial field, as well as the prospects for future development trends.