10 citations · 20 across the 4 of their papers we have counts for
8 papers · 1 filter
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…
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…
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 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…