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Preprint Sep 2026

Learned-projector QAOA for hierarchical optimization

Many optimization problems reveal inexpensive structural information before requiring costly final evaluation, whereas the conventional quantum approximate optimization algorithm (QAOA) applies a single aggregate objective throughout. We introduce the learned-projector quantum alternating operator ansatz (LP-QAOA), a m...

Kang-Yun Zhou, Dong An, Jin-Peng Liu · 0 citations
Preprint Aug 2026

A quantum-assisted framework for PDE-based Bayesian inverse problems

A quantum-classical hybrid framework for Bayesian PDE inversion problems: the quantum processor evolves the PDE and evaluates the loss function with sampling noises, while the classical computer tunes the hyper-parameters in the Gaussian Process Regression to explore the next trial candidate.

Dong An, Yinan Li, Pucheng Tang et al. · 0 citations

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