83 citations · 218 across the 10 of their papers we have counts for
10 papers
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…
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…
Randomised benchmarking for characterizing and forecasting correlated processes
Xinfang Zhang, Zhihao Wu, Gregory A. L. White +12
The development of fault-tolerant quantum processors relies on the ability to control noise. A particularly insidious form of noise is temporally correlated or non-Markovian noise.…
Experimental quantum natural gradient optimization in photonics
Yizhi Wang, Shichuan Xue, Yaxuan Wang +10
Variational quantum algorithms (VQAs) combining the advantages of parameterized quantum circuits and classical optimizers, promise practical quantum applications in the Noisy Inter…
Quantum generative adversarial learning in photonics
Yizhi Wang, Shichuan Xue, Yaxuan Wang +10
Quantum Generative Adversarial Networks (QGANs), an intersection of quantum computing and machine learning, have attracted widespread attention due to their potential advantages ov…
Variational quantum process tomography
Shichuan Xue, Yong Liu, Yang Wang +3
Quantum process tomography is an experimental technique to fully characterize an unknown quantum process. Standard quantum process tomography suffers from exponentially scaling of…
General Quantum Bernoulli Factory: Framework Analysis and Experiments
Yong Liu, Jiaqing Jiang, Pingyu Zhu +13
The unremitting pursuit for quantum advantages gives rise to the discovery of a quantum-enhanced randomness processing named quantum Bernoulli factory (QBF). This quantum enhanced…
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…
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…
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…