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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yuxuan Du

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Open access Aug 2023

ShadowNet for Data-Centric Quantum System Learning

Understanding the dynamics of large quantum systems is hindered by the curse of dimensionality. Statistical learning offers new possibilities in this regime through neural network protocols and classical shadows, while both methods have limitations: the former suffers from incompatible dataset construction rules, resul...

Yuxuan Du, Yi-Bo Yang, Tongliang Liu et al. · 10 citations
Preprint Jul 2026

Stochastic Pauli-path simulator for large-scale quantum optimization

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
Preprint Aug 2026

Learnable yet not simulable: a quantum resource theory of learning models

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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