Compression and reduction of N∗1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N*1$$\end{document} states by unitary matrices

被引:0
作者
Guijiao Du
Chengcheng Zhou
Leong-Chuan Kwek
机构
[1] Changchun University of Science and Technology,School of Physics
[2] National University of Singapore,Centre for Quantum Technologies
[3] Nanyang Technological University,Institute of Advanced Studies
[4] Nanyang Technological University,National Institute of Education
[5] CNRS-UNS-NUS-NTU International Joint Research Unit,undefined
关键词
Lie algebra; Group theory; Machine learning;
D O I
10.1007/s11128-022-03409-9
中图分类号
学科分类号
摘要
In recent experiments, the compression from qutrit to qubit is realized by the autoencoder. Inspired by the idea of dimensionality reduction, we apply the rotation transformation to compress the states. Starting from Lie algebra, we construct a 3*3 unitary matrix acting on 3*1 state and realize the rotation transformation of the states and then achieve compression of 3*1 state. Each rotation of a state is a compression, and each compression-only needs to adjust two parameters. According to the compression of 3*1 and 4*1 states by unitary matrices, we further discuss the compression law of N*1 states by unitary matrices. In the process of compression, we can adjust the form of the unitary matrix according to the system condition to change the compression position. In this paper, we focus on the compression law along the diagonal from top to bottom. We redesigned the autoencoder and added the waveplate combination to reduce the parameters without affecting the results and achieve the purpose of state compression.
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