activity
20142023
most citedA Separability-Entanglement Classifier via Machine Learning

118 citations · 169 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2023★ 3 cited

Visualization of all two-qubit states via partial-transpose-moments

Lin Zhang, Yi Shen, Hua Xiang +2

Efficiently detecting entanglement based on measurable quantities is a basic problem for quantum information processing. Recently, the measurable quantities called partial-transpos…

quant-ph2019★ 15 cited

Determining system Hamiltonian from eigenstate measurements without correlation functions

Shi-Yao Hou, Ningping Cao, Sirui Lu +3

Local Hamiltonians arise naturally in physical systems. Despite its seemingly `simple' local structure, exotic features such as nonlocal correlations and topological orders exhibit…

quant-ph2017★ 118 cited

A Separability-Entanglement Classifier via Machine Learning

Sirui Lu, Shilin Huang, Keren Li +7

The problem of determining whether a given quantum state is entangled lies at the heart of quantum information processing, which is known to be an NP-hard problem in general. Despi…

quant-ph2015★ 13 cited

Geometry of reduced density matrices for symmetry-protected topological phases

Ji-Yao Chen, Zhengfeng Ji, Zheng-Xin Liu +2

In this paper, we study the geometry of reduced density matrices for states with symmetry-protected topological (SPT) order. We observe ruled surface structures on the boundary of…

quant-ph2014★ 20 cited

Discontinuity of Maximum Entropy Inference and Quantum Phase Transitions

Jianxin Chen, Zhengfeng Ji, Chi-Kwong Li +5

In this paper, we discuss the connection between two genuinely quantum phenomena --- the discontinuity of quantum maximum entropy inference and quantum phase transitions at zero te…