collaborators

9 papers

quant-ph2026

QuantiSpect: A Structure-Aware Lightweight 3D CNN Pre-Decoder for Scalable Surface Code Quantum Error Correction

Pan Gao, Xu-Sheng Xu, Ji-Ze Han +7

Real-time decoding is a critical bottleneck for large-scale fault-tolerant quantum computing. AI-based neural pre-decoders locally correct most physical errors before passing resid…

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…

quant-ph2026

Robust and High-Fidelity Controlled Two-Qubit Gates via Asymmetric Parallel Resonant Excitation

Licheng Lin, Jize Han, Peng Zhu +4

Implementing high-fidelity controlled two-qubit gates in dipole-dipole interacting systems, such as rare-earth-ion crystals, in hindered by spectral inhomogeneity and weak coupling…

quant-ph2026

Scalable high-fidelity and near-deterministic preparation of large photon-number states

Mo Xiong, Jize Han, Chuanzhen Cao +3

The scalable preparation of large photon-number (Fock) states is a long-standing frontier in quantum science, with direct implications for quantum metrology and bosonic quantum inf…