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20172023
most citedA Separability-Entanglement Classifier via Machine Learning

118 citations · 376 across the 17 of their papers we have counts for

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5 papers · 1 filter

quant-ph2017★ 1 cited

Quantum State Tomography for Generic Pure States

Shilin Huang, Jianxin Chen, Youning Li +1

We show that a generic -qudit pure quantum state is uniquely determined by only of its -particle reduced density matrices. Therefore we give a met…

quant-ph2017★ 31 cited

NMRCloudQ: A Quantum Cloud Experience on a Nuclear Magnetic Resonance Quantum Computer

Tao Xin, Shilin Huang, Sirui Lu +7

As of today, no one can tell when a universal quantum computer with thousands of logical quantum bits (qubits) will be built. At present, most quantum computer prototypes involve l…

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-ph2017★ 26 cited

Optimal experiment design for quantum state tomography

Jun Li, Shilin Huang, Zhihuang Luo +3

Quantum state tomography is an indispensable but costly part of many quantum experiments. Typically, it requires measurements to be carried in a number of different settings on a f…

hep-th2017★ 13 cited

Discrete Gravity on Random Tensor Network and Holographic Rényi Entropy

Muxin Han, Shilin Huang

In this paper we apply the discrete gravity and Regge calculus to tensor networks and Anti-de Sitter/conformal field theory (AdS/CFT) correspondence. We construct the boundary many…