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20192025
most citedQuantum generative adversarial learning in photonics

10 citations · 20 across the 4 of their papers we have counts for

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8 papers · 1 filter

quant-ph20252 cited

Distributed-HISQ: A Distributed Quantum Control Architecture

Yilun Zhao, Kangding Zhao, Peng Zhou +12

The design of a scalable Quantum Control Architecture (QCA) faces two primary challenges. First, the continuous growth in qubit counts has rendered distributed QCA inevitable, yet…

quant-ph2025

Error-mitigated entanglement-assisted quantum process tomography

Zhihao Wu, Lingling Lao, Chengqi Zhuke +6

In the era of noisy intermediate-scale quantum computing, it is of crucial importance to verify quantum processes and extract information. Quantum process tomography is a typical a…

quant-ph2023

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.…

quant-ph20238 cited

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…

quant-ph202310 cited

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…

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…