Author

Xiao-Song Li

3 papers indexed here

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Preprint Oct 2026

Electronic-Structure-Informed Many-Body Encoding for Quantum Machine Learning

Data encoding is a central challenge in quantum machine learning (QML), as it determines how classical information is mapped onto quantum states and influences the expressive power and efficiency of parameterized quantum circuits. Here, we introduce a physics-informed quantum encoding strategy that exploits the intrins...

Liang-Nuo Zhang, Tanner Culpitt, Qi-Wei Yin et al. · 0 citations

Preprint Aug 2026

Relativistic Dirac-Coulomb-Breit Four-Component Multireference Perturbation Theory within the Small Tensor Product Distributed Active Space Framework

We present a four-component multireference second-order perturbation theory (4C-MRPT2) within the small tensor product distributed active space (STP-DAS) framework. The formulation is compatible with the Dirac-Coulomb (DC), Dirac-Coulomb-Gaunt (DCG), and Dirac-Coulomb-Breit (DCB) Hamiltonians, and inherits the memory-e...

R. Majumder, Shiv Upadhyay, Ryan A. Beck et al. · 0 citations

Preprint Aug 2026

A Theory of Finite-Noise Optima and Generalization in Quantum Machine Learning

A statistical learning theory connecting microscopic noise processes to macroscopic learning performance is developed, derived from a surrogate model analysis, that predicts the noise-induced reduction in model complexity and the consequent reduction in the generalization gap.

Zi-Yu Zhang, Zikang Jia, Xiao-Song Li et al. · 1 citation