activity
20222024
most citedQuantum generative adversarial learning in photonics

10 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

math.LO2024

Finite final segments of the d.c.e. Turing degrees

Steffen Lempp, Yiqun Liu, Yong Liu +3

We prove that every finite distributive lattice is isomorphic to a final segment of the d.c.e. Turing degrees (i.e., the degrees of differences of computably enumerable sets). As a…

cs.IT2024

Freshness-aware Resource Allocation for Non-orthogonal Wireless-powered IoT Networks

Yunfeng Chen, Yong Liu, Jinhao Xiao +3

This paper investigates a wireless-powered Internet of Things (IoT) network comprising a hybrid access point (HAP) and two devices. The HAP facilitates downlink wireless energy tra…

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-ph20226 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…