activity
20222026
most citedQuantum generative adversarial learning in photonics

10 citations · 24 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Expressive Power and Limitations of Multi-photon Quantum Neural Networks

Zeyu Xiao, Weixu Shi, Yizhi Wang +2

Quantum neural networks (QNNs) have shown promise in leveraging quantum computation for machine learning tasks. Utilizing multiple identical photons as input, multi-photon quantum…

quant-ph2025

High-efficiency Weak-trace-free Counterfactual Communication via Quantum Zeno Effect

Tianyi Xing, Anqi Huang, Yizhi Wang +10

The quantum Zeno effect, which inhibits quantum state evolution via repeated weak measurements, significantly enhances the efficiency of interaction-free measurement (IFM). This fu…

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-ph2023★ 8 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-ph2023★ 10 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-ph2022★ 6 cited

Large-scale full-programmable quantum walk and its applications

Yizhi Wang, Yingwen Liu, Junwei Zhan +22

With photonics, the quantum computational advantage has been demonstrated on the task of boson sampling. Next, developing quantum-enhanced approaches for practical problems becomes…

quant-ph2022

An Unbiased Quantum Random Number Generator Based on Boson Sampling

Jinjing Shi, Tongge Zhao, Yizhi Wang +5

It has been proven that Boson sampling is a much promising model of optical quantum computation, which has been applied to designing quantum computer successfully, such as "Jiuzhan…