activity
20192026
most citedQuantum generative adversarial learning in photonics

10 citations · 18 across the 3 of their papers we have counts for

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5 papers · 1 filter

quant-ph2026

Nonclassicality of a delayed remote-controlled quantum computing model

Peicun Lin, Dongyang Wang, Yong Liu +1

Delegated quantum computing is likely to become the primary means for most people to access quantum computers in the future. However, these hardware inevitably operate beyond clien…

quant-ph2025

Matrix Product State on a Quantum Computer

Yong Liu, Guangyao Huang, Yizhi Wang +1

Solving quantum many-body systems is one of the most significant regimes where quantum computing applies. Currently, as a hardware-friendly computational paradigms, variational alg…

quant-ph2019

Variational Quantum Circuits for Quantum State Tomography

Yong Liu, Dongyang Wang, Shichuan Xue +9

Quantum state tomography is a key process in most quantum experiments. In this work, we employ quantum machine learning for state tomography. Given an unknown quantum state, it can…

quant-ph2019

Sample caching Markov chain Monte Carlo approach to boson sampling simulation

Yong Liu, Min Xiong, Chunqing Wu +10

Boson sampling is a promising candidate for quantum supremacy. It requires to sample from a complicated distribution, and is trusted to be intractable on classical computers. Among…

quant-ph2019

General-purpose quantum circuit simulator with Projected Entangled-Pair States and the quantum supremacy frontier

Chu Guo, Yong Liu, Min Xiong +12

Recent advances on quantum computing hardware have pushed quantum computing to the verge of quantum supremacy. Random quantum circuits are outstanding candidates to demonstrate qua…