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20152023
most citedBuilding quantum neural networks based on swap test

62 citations · 281 across the 27 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

quant-ph2018★ 1 cited

Quantum Regularized Least Squares Solver with Parameter Estimate

Changpeng Shao, Hua Xiang

In this paper we propose a quantum algorithm to determine the Tikhonov regularization parameter and solve the ill-conditioned linear equations, for example, arising from the finite…

quant-ph2018★ 15 cited

A Quantum Model for Multilayer Perceptron

Changpeng Shao

Multilayer perceptron is the most common used class of feed-forward artificial neural network. It contains many applications in diverse fields such as speech recognition, image rec…

quant-ph2018★ 6 cited

From linear combination of quantum states to Grover's searching algorithm

Changpeng Shao

Linear combination of unitaries (LCU for short) is one of the most important techniques in designing quantum algorithms. In this paper, we propose a new quantum algorithm in three…

quant-ph2018★ 1 cited

Quantum Arnoldi and conjugate gradient iteration algorithm

Changpeng Shao

Arnoldi method and conjugate gradient method are important classical iteration methods in solving linear systems and estimating eigenvalues. Their efficiency often affected by the…

quant-ph2018★ 30 cited

Quantum Circulant Preconditioner for Linear System of Equations

Changpeng Shao, Hua Xiang

We consider the quantum linear solver for with the circulant preconditioner . The main technique is the singular value estimation (SVE) introduced in [I. Kerenidis and A.…

quant-ph2018

Quantum Algorithm to Cubic Spline Interpolation

Changpeng Shao

HHL algorithm \cite{harrow} to solve linear system is a powerful and efficient quantum technique to deal with many matrix operations (such as matrix multiplication, powers and inve…

quant-ph2018★ 10 cited

Reconsider HHL algorithm and its related quantum machine learning algorithms

Changpeng Shao

HHL quantum algorithm to solve linear systems is one of the most important subroutines in many quantum machine learning algorithms. In this work, we present and analyze several oth…

quant-ph2018★ 21 cited

Quantum Algorithms to Matrix Multiplication

Changpeng Shao

In this paper, we study quantum algorithms of matrix multiplication from the viewpoint of inputting quantum/classical data to outputting quantum/classical data. The main target is…