Adi Attar

Quantum Geometric Tensor Preconditioning for Stable Training of Recurrent Neural Quantum States

This work shows that minSR can be stabilized through simple regularization techniques, enabling robust training of RNN-based NQS with only a few samples, and offers a promising pathway for using modern optimization techniques with autoregressive NQS to address open questions in quantum simulation.