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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

Quantum computing offers potential advantages for solving partial differential equations (PDEs). However, most existing quantum PDE solvers primarily focus on preparing quantum states for solutions, while the efficient recovery of classical information from these states remains less explored. Motivated by the readout l...

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

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