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20172019
most citedQuantum algorithm for total least squares data fitting

17 citations · 27 across the 3 of their papers we have counts for

collaborators

6 papers

quant-ph20196 cited

Incompatibility probability of random quantum measurements

Lin Zhang, Hua Xiang, Xianqing Li-Jost +1

Incompatibility of quantum measurements is of fundamental importance in quantum mechanics. It is closely related to many nonclassical phenomena such as Bell nonlocality, quantum un…

quant-ph201917 cited

Quantum algorithm for total least squares data fitting

Hefeng Wang, Hua Xiang

The total least squares~(TLS) method is widely used in data-fitting. Compared with the least squares fitting method, the TLS fitting takes into account not only observation errors,…

math.DG2018

Singular Values of Riemann Curvature Tensor

Xiaokai He, Hua Xiang

We introduce the concept of singular values for the Riemann curvature tensor, a central mathematical tool in Einstein's theory of general relativity. We study the properties relate…

quant-ph2018

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.…

math.DG2018

M-eigenvalues of The Riemann Curvature Tensor

Hua Xiang, Liqun Qi, Yimin Wei

The Riemann curvature tensor is a central mathematical tool in Einstein's theory of general relativity. Its related eigenproblem plays an important role in mathematics and physics.…

math.RA20174 cited

On the M-eigenvalues of elasticity tensor and the strong ellipticity condition

Hua Xiang, Liqun Qi, Yimin Wei

Strong ellipticity is an important property in the elasticity theory. In 2009, M-eigenvalues were introduced for the elasticity tensor. It was shown that M-eigenvalues are invarian…