CAREER: Realistic Models and Simulations of Systems for Quantum Information Processing

职业：量子信息处理系统的现实模型和模拟

• 批准号: 0448658
• 负责人: Todd Brun
• 金额: --
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0448658&HistoricalAwards=false
• 关键词: CAREER; Realistic; Models; Simulations; Systems

Quantum information processing (QIP) holds the promise of distinctly new and more powerful information systems, including quantum computation, quantum communications, and quantum information theory. However, this promise can only be achieved if the theoretical advances up to the present can be transformed into actual technology. This requires steady experimental advances over the next few years, which in turn requires a far better practical understanding of realistic quantum systems for QIP. The aim of this proposal is to provide such an understanding.Intellectual Merit.QIP is still a young field, but one that has grown explosively over the last ten years. From the discovery by Peter Shor that quantum computers could factor large numbers, a problem widely believed to be intractable on ordinary computers, and on which the well-known public-key encryption algorithm RSA is based, there has been rapid theoretical development, demonstrating numerous applications of quantum systems to information processing tasks.Experimental development, while also rapid, still lags far behind theory in almost all areas. This is largely due to the inherent difficulty of controlling large quantum systems while isolating them from quantum noise (or decoherence). In addition to improved experiments, careful theoretical treatment is needed to understand the sources of noise in realistic quantum systems, and their effects on QIP. The PI will draw on extensive experience in decoherence to improve both the theoretical and numerical tools for such treatments, and apply them to a wide variety of related problems relating to near-term QIP experiments.Broader Impact As a new field, QIP has so far penetrated only shallowly into the academic community and public consciousness. It is important to train the next generation of quantum engineers. To these ends, the PI will:-create two new courses: one, an introductory graduate course in quantum information and computation, the other an advanced topics course. -The extensive lecture notes will be made publicly available-PI will also host the SQuInT summer retreat for graduate students in QIP at USC, andHe will also reach out to the larger academic community at USC-PI will serve as associate editor of IEEE Transactions on Computers, editing a special issue on QIP. -The software library will also be made available for the use of others in the field, and provided with a suitable easy-to-use interface.

量子信息处理（QIP）有望带来全新的、更强大的信息系统，包括量子计算、量子通信和量子信息理论。然而，只有将迄今为止的理论进展转化为实际技术，才能实现这一承诺。这需要在未来几年内取得稳定的实验进展，这反过来又需要对QIP的现实量子系统有更好的实际理解。这个建议的目的是提供这样一种理解。知识产权。QIP仍然是一个年轻的领域，但在过去的十年里已经爆炸性地增长。从彼得·肖尔（Peter Shor）发现量子计算机可以分解大量的数字开始，人们普遍认为这是一个在普通计算机上难以解决的问题，著名的公钥加密算法RSA就是基于这个发现的。理论发展迅速，量子系统在信息处理任务中有着众多的应用。实验发展虽然也很快，但在几乎所有领域都远远落后于理论。这在很大程度上是由于控制大型量子系统的固有困难，同时将它们与量子噪声（或退相干）隔离开来。除了改进实验外，还需要仔细的理论处理来理解现实量子系统中的噪声源及其对QIP的影响。PI将借鉴在退相干方面的丰富经验，改进用于此类处理的理论和数值工具，并将其应用于与近期QIP实验相关的各种问题。更广泛的影响作为一个新领域，QIP迄今为止仅在学术界和公众意识中渗透。培养下一代量子工程师至关重要。为此，PI将：-创建两个新课程：一个是量子信息和计算的入门研究生课程，另一个是高级主题课程。- 广泛的课堂讲稿将公开-PI还将主持SQuInT夏季务虚会的研究生在QIP在南加州大学，他还将接触到更大的学术界在USC-PI将担任副主编IEEE计算机交易，编辑一个特别问题上QIP。- 软件库也将提供给外地的其他人使用，并提供一个适当的易于使用的界面。