Author

Remmy Zen

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Preprint Aug 2026

Autoregressive Projective Quantum Monte Carlo: From a Hermitian to a Non-Hermitian Perspective

An autoregressive projective quantum Monte Carlo (PQMC) framework that leverages recurrent neural networks (RNNs) to guide the stochastic dynamics is introduced, demonstrating substantial improvements in accuracy compared to standard unguided PQMC, while retaining polynomial computational cost.

Lavoisier Wah, Remmy Zen, Flore K. Kunst · 1 citation