Span Programs, Electrical Flows, and Beyond: New Approaches to Quantum Algorithms
作者:Guoming Wang 作者单位:EECS Department, University of California, Berkeley 加工时间:2015-05-01 信息来源:EECS 索取原文[107 页]
关键词:量子算法;线性代数;计算模型;曲线拟合;电流量 摘 要:This dissertation explores several new approaches to developing quantum algorithms. These approaches include span programs, electrical flows and nonsparse Hamiltonian simulation. We demonstrate their power by successfully applying them to some useful problems, including tree detection, effective resistance estimation and curve fitting. All of these algorithms are time-efficient,and some of them are proven to be (nearly) optimal.