Approximating Ground States of Many-Body Quantum Systems with Normalising Flow Sampling

by Mr Timur Sypchenko (iPPP)

Friday 17 Oct 2025, 14:30 → 15:00 Europe/London

Understanding ground states of strongly interacting quantum systems remains a major challenge across many areas of physics. Neural Quantum States offer a powerful variational framework for this task, but their performance is often limited by inefficient sampling. In this talk, I will introduce an approach that combines Neural Quantum States with a Normalising Flow-based sampler, allowing sampling and wavefunction learning to be treated independently. This flow-assisted strategy enables more effective exploration of complex, highly entangled regions of Hilbert space.