Complexity and Robustness in Quantum and Biomolecular Information Processing Systems

这是一个关于设计量子和生物分子信息处理系统的跨学科的理论研究项目。具体地说，信息处理系统的大小/复杂性的增加可以导致对环境扰动和系统实现错误的稳健性的改善的速度正在被研究，从利用控制理论的模型缩减方法开始开发用于仔细检查大的但有限的量子和生物分子系统的稳健性的一般方法，并接着对各种已知纠错方案的效率进行详细分析。总体目标是能够阐明实现给定稳健性水平所需的冗余度的基本限制。这项研究的一个组成部分是开发一门关于信息处理系统的多尺度设计的新课程。

This is an interdisciplinary project of theoretical research on design of quantum and biomolecular information processing systems. Specifically, the rate at which increases in the size/complexity of an information processing system can lead to improvements in robustness against environmental perturbations and systematic implementation errors are being investigated, starting with utilization of model reduction methods from control theory to develop general methods for scrutinizing the robustness of large but finite quantum and biomolecular systems and proceeding to detailed analyses of the efficiency of various known error-correction schemes. The overall goal is to be able to elucidate fundamental limits on the degree of redundancy required to achieve a given level of robustness. An integral part of this research is development of a new course on multi-scale design of information processing systems.