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《Computer Knowledge and Technology》 2019-20
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An Improved FPCA Algorithm for Density Matrix Recovery

YANG Xin-gang;College of Safety Engineering, China University of Labor Relations;  
Matrix recovery is a very meaningful job. Aiming at the density matrix in quantum mechanics, this paper proposes a more suitable improved algorithm based on the fixed point iterative algorithm(FPCA) based on approximate singular value decomposition. From the numerical experiments, good results have been achieved.
【Fund】: 中国劳动关系学院2015年院级科研项目“量子态密度矩阵的恢复算法研究及其应用”(15zy013)
【CateGory Index】: O413;TP301.6
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