21 citations · 37 across the 5 of their papers we have counts for
6 papers
Truncated hybrid tensor networks for distributed quantum simulation
Yong Liu, Guangyao Huang, Weixu Shi +4
Simulation of quantum many-body systems is a principal application of quantum computing, but available devices remain limited by the number of qubits and cannot accommodate systems…
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…
Spectral side channels of wavelength-division multiplexer in quantum key distribution under laser damage
Binwu Gao, Junxuan Liu, Ekaterina Borisova +8
In the transmitter of a quantum key distribution (QKD) system, a wavelength-division multiplexer (WDM) is typically used to combine quantum and synchronization signals and is direc…
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…
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…
Strong pulse illumination hacks self-differencing avalanche photodiode detectors in a high-speed quantum key distribution system
Binwu Gao, Zhihai Wu, Weixu Shi +5
Implementation of high-speed quantum key distribution~(QKD) has become one of the major focus in the field, which produces high key-generation rate for applications. To achieve hig…