output
20022024
most citedConcurrence of arbitrary dimensional bipartite quantum states

321 citations

Showing 2023Show all

24 papers · 1 filter

quant-ph202322 cited

Tensor networks for interpretable and efficient quantum-inspired machine learning

Shi-Ju Ran, Gang Su

It is a critical challenge to simultaneously gain high interpretability and efficiency with the current schemes of deep machine learning (ML). Tensor network (TN), which is a well-…

cond-mat.mes-hall20235 cited

Determination of the phonon sidebands in the photoluminescence spectrum of semiconductor nanoclusters from ab initio calculations

Peng Han, Gabriel Bester

We propose a theoretical approach based on (constrained) density functional theory and the Franck-Condon approximation for the calculation of the temperature dependent photolumines…

quant-ph20233 cited

Polygamy relation of quantum correlations with equality

Zhi-Xiang Jin, Bing Yu, Xue-Na Zhu +2

We provide a generalized definition of polygamy relations for any quantum correlation measures. Instead of the usual polygamy inequality, a polygamy relation with equality is given…

quant-ph202317 cited

Variational quantum algorithms for Poisson equations based on the decomposition of sparse Hamiltonians

Hui-Min Li, Zhi-Xi Wang, Shao-Ming Fei

Solving a Poisson equation is generally reduced to solving a linear system with a coefficient matrix of entries , , from the discretized Poisson equation…

quant-ph202317 cited

Entanglement Verification with Deep Semi-supervised Machine Learning

Lifeng Zhang, Zhihua Chen, Shao-Ming Fei

Quantum entanglement lies at the heart in quantum information processing tasks. Although many criteria have been proposed, efficient and scalable methods to detect the entanglement…

quant-ph20231 cited

Detection of Genuine Multipartite Entanglement in Arbitrary Multipartite systems

Yu Lu, Shao-Ming Fei

We study the genuine multipartite entanglement of arbitrary -partite quantum states by representing the density matrices in terms of the generalized Pauli operators. We introduc…