9 papers · 1 filter
Quantum neural network equipped with backpropagation on a qudit processor
Yibo Yuan, Zhuoyue Xu, Zhenyue Du +7
Quantum neural networks (QNNs), one of the fundamental algorithms in quantum machine learning, have been widely used in classification and identification tasks. However, the capabi…
Low-Depth Random Unitaries without Ancillae
Zhenyu Du, Siyuan Cheng, Xiongfeng Ma
Random unitaries are fundamental to quantum information and many-body physics, with widespread applications ranging from quantum learning and metrology to device benchmarking. A ce…
Quantum-classical crossover in fault-tolerant quantum dynamics simulation
Jinzhao Sun, Bozhen Zhou, Jue Xu +28
While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorith…
No Cloning of Quantum Ensembles
Zhenyu Du, Siyuan Cheng, Qi Zhao +2
Modern quantum physics now enables control of quantum systems at the level of individual trajectories, opening a new frontier that links quantum information theory, quantum many-bo…
Complexity-driven transitions in quantum observation
Zhenyu Du, Siyuan Cheng, Han Ye +3
Observing the physical world is a foundational pursuit in science. In the quantum realm, however, observation necessitates a fundamental quantum-to-classical conversion: destructiv…
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…