AI scientists are expanding automated research across scientific domains, yet their ability to turn the scientific record into a foundation for autonomous discovery remains elusive. Here we uncover a fundamental barrier to this transition and demonstrate a route to overcome it in computational quantum science, where ad...
Yuxuan Du, Han-Qing Zhao, Xin-Biao Wang et al.· 0 citations
The stochastic Pauli-path simulator (SPPS), a computational framework for large-scale quantum optimization that enables unbiased stochastic gradient estimation via Pauli-path sampling across optimization iterations, is proposed.
Kai-Ning Zhang, Xin-Biao Wang, Kun-Sheng Li et al.· 0 citations
A quantitative resource-theoretic framework for delineating the boundary between classical simulation and learning, motivate resource measures linking quantum resources to learnability, and guide the design of learning-based algorithms for scalable quantum systems beyond the reach of direct classical simulation are est...
Xin-Biao Wang, Yuxuan Du, Dacheng Tao· 0 citations
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