1 citations · 5 across the 7 of their papers we have counts for
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Computing eigenvalues of diagonalizable matrices in a quantum computer
Changpeng Shao
Solving linear systems and computing eigenvalues are two fundamental problems in linear algebra. For solving linear systems, many efficient quantum algorithms have been discovered.…
Data classification by quantum radial basis function networks
Changpeng Shao
Radial basis function (RBF) network is a third layered neural network that is widely used in function approximation and data classification. Here we propose a quantum model of the…
Randomized Row and Column Iterative Methods with a Quantum Computer
Changpeng Shao, Hua Xiang
We consider the quantum implementations of the two classical iterative solvers for a system of linear equations, including the Kaczmarz method which uses a row of coefficient matri…
An Improved Algorithm for Quantum Principal Component Analysis
Changpeng Shao
Principal component analysis is an important dimension reduction technique in machine learning. In [S. Lloyd, M. Mohseni and P. Rebentrost, Nature Physics 10, 631-633, (2014)], a q…
Building quantum neural networks based on swap test
Jian Zhao, Yuan-Hang Zhang, Chang-Peng Shao +3
Artificial neural network, consisting of many neurons in different layers, is an important method to simulate humain brain. Usually, one neuron has two operations: one is linear, t…