量子计算是基于量子力学的全新计算模式，具有远超经典计算的强大并行计算能力。量子机器学习有机结合了人工智能和量子计算这两个看似截然不同但又影响深远的领域，有望解决目前经典机器学习中因数据量过大导致的空间和时间复杂度过高的困难，并有望衍生出新的机器学习架构，将在模式识别、统计学习、数据挖掘、自然语言处理、自动化、金融分析等领域产生颠覆性影响。因此，探索量子机器学习算法的设计与实现，具有重要的科学意义和实际应用价值。本项目将围绕量子机器学习算法的设计与实现展开研究，深入分析量子机器学习算法的设计技巧，设计新型量子机器学习算法，丰富量子机器学习算法工具库；同时研究量子机器学习的可加速性，探索量子机器学习和经典机器学习的边界；最后基于量子计算平台，探索量子机器学学习的实验实现。通过理论和实验的相辅相成，为进一步探索量子机器学习提供理论依据和实验指导，对未来量子机器学习的实际应用具有前瞻性的科学意义。

Quantum computing is a new computational model based on quantum mechanics, which has the powerful parallel computing capability far beyond classical computing. By combining the artificial intelligence and quantum computing, quantum machine learning is expected to solve the problems of high space and time complexity caused by large amount of data in classical machine learning, and to promote the creation of new machine learning architectures, which will have a subversive impact in the fields of pattern recognition, statistical learning, data mining, natural language processing, automation, financial analysis and so on. Therefore, exploring the design and experimental realization of quantum machine learning algorithms has important scientific significance and practical application value. This project will focus on the design and experimental realization of quantum machine learning algorithms. By analyzing the design techniques for quantum machine learning, we will design new and interesting quantum machine learning algorithms. At the same time, the accelerating nature of quantum machine learning will be studied, and the boundary between quantum machine learning and classical machine learning will be explored. Finally, the experimental realization of quantum machine learning will be explored based on quantum computing devices. The research results of this project can provide theoretical and experimental guidance for further exploring the practical application of quantum machine learning, and has a forward-looking scientific significance for the practical application of quantum machine learning in the future.