The execution of useful quantum algorithms on fault-tolerant processors requires more than a mapping from logical gates to encoded operations: the spatial organization, non-Clifford resource supply, and execution schedule must also be determined while keeping physical overhead within practical limits. Although the theo...
Yun-Xin Tang, Zi-Xuan Huo, Jun-Xiang Huang et al.· 0 citations
Ribonucleic acid (RNA) functions through conformational changes that are not fully captured by static structures. However, large-scale standardized RNA dynamics data remain limited, and existing approaches typically treat trajectory generation and dynamics understanding as separate objectives. Here, we introduce RNADyn...
Yi-Ming Huang, L. Bastian, Hanqun Cao et al.· 0 citations
Annealed gradient descent is established as a lightweight complement to expressive neural architectures, improved sampling strategies for scalable quantum many-body optimization and enables compact neural quantum states to attain chemical accuracy and competitive state-of-the-art performance.
A scalable fault-tolerant framework that combines coherent observable estimation with a space-time-efficient implementation of non-Clifford rotations is introduced, suppressing the residual logical errors that limit existing partially fault-tolerant approaches.
Jinzhao Sun, Bozhen Zhou, Jue Xu et al.· 4 citations
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