10 citations · 10 across the 5 of their papers we have counts for
12 papers
Worst-case depth hierarchy for shallow quantum circuits
Min-Hsiu Hsieh, Michael de Oliveira, Sathyawageeswar Subramanian +1
Circuit depth is a central resource in complexity theory. While bounded-depth classical circuits admit well-understood hierarchy theorems, the internal structure of constant-depth…
Stream randomness extraction against quantum side information
Chun-Yang Luan, Cheng-Kang Pan, Xiang Zhang +1
Randomness extraction is indispensable for quantum random number generators, serving to eliminate bias and potential information leakage from raw measurement data. Conventional ext…
Scalable self-testing of generic multipartite quantum states
Jinchang Liu, Elias X. Huber, Zhenyu Du +2
Characterizing large quantum systems with minimal assumptions is a central challenge in quantum information science. Self-testing provides the strongest form of certification by id…
Distilling the knowledge with quantum neural networks
Yuxuan Yan, Sitian Qian, Qi Zhao +1
Quantum Neural Networks (QNNs) are a promising class of quantum machine learning models with potential quantum advantages when implemented on scalable, error-corrected quantum comp…
A building block of quantum repeaters for scalable quantum networks
Wen-Zhao Liu, Ya-Bin Zhou, Jiu-Peng Chen +26
Quantum networks, integrating quantum communication, quantum metrology, and distributed quantum computing, could provide secure and efficient information transfer, high-resolution…
Entanglement Superactivation in Multiphoton Distillation Networks
Rui Zhang, Yue-Yang Fei, Zhenhuan Liu +9
In quantum networks, after passing through noisy channels or information processing, residual states may lack sufficient entanglement for further tasks, yet they may retain hidden…