3 papers
quant-ph2026
Trainable Quantum Channels as Computational Primitives for Quantum Learning
Jingwei Wen, Runqing Zhang, Ling Qian +6
Variational quantum learning is traditionally constrained to unitary dynamics, often treating quantum channels as detrimental noise. In this work, we reformulate the quantum channe…
quant-ph2026
Toward General Quantum Control with Physics-Informed Large Language Models
Yusheng Zhao, Han Wang, Xin Liu +10
Quantum control is essential for quantum information science and technology, yet designing high-fidelity control protocols remains challenging due to complex optimization landscape…
physics.comp-ph2026
Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations
Ken Deng, Xiangfei Wang, Guijing Duan +7
While large language models (LLMs) promise to revolutionize automated scientific discovery, their application in rigorous real-world physical research is stalled by two critical ba…