Prof. Juan-Pedro Garrahan University of Nottingham
Abstract: Generating quantum ensembles via quantum diffusion models
I will describe a theoretical framework for sampling from ensembles of quantum states that generalises classical generative diffusion models. In analogy with the classical case, starting from a fully quantum noising dynamics which transforms data samples into noise, I will show how to derive a quantum trajectory-based denoising dynamics which transforms noise into new samples of the quantum ensemble of interest. I will discuss similarities and differences with classical diffusion models, and more broadly connect to ideas about rare events.