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Author

Feixiong Cheng

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Open access Sep 2026

A Hybrid Quantum–AI Framework for Protein Structure Prediction on NISQ Devices

Variational quantum algorithms provide a direct, physics-based approach to protein structure prediction, but their accuracy is limited by the coarse resolution of the energy landscapes generated on current noisy devices. We propose a hybrid framework that combines quantum computation with deep learning, formulating str...

Yu-Qi Zhang, Yuxin Yang, Fei-Xiong Cheng et al. · 0 citations
Preprint Jul 2026

Quantum Sampling Architecture for Protein Structure Reconstruction on Utility-Scale Hardware

QSAD is presented, a quantum-classical framework that reformulates peptide structure prediction as amino-acid-level Hamiltonian sampling and replaces iterative optimization with non-iterative Hamiltonian evolution and establishes coarse-grained quantum sampling as a practical computational path for structure prediction...

Yuqi Zhang, Bo Fang, Yuxin Yang et al. · 1 citation

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