ESQuisses2022 — Summer School on "Stochastic Quantum Evolutions"

This summer school aims at gathering mathematicians, physicists and computer scientists interested in stochastic methods in quantum mechanics.

Several introductory lectures will be given by leading researchers in the field. Topics include quantum machine learning, correlations in device-independent scenarios, quantum trajectories and feedback, random unitary circuits, and quantum cellular automata. The lectures shall be complemented by additional, more focused, research talks. Poster sessions for Phd and postdoctoral students will be organized during the week. Ample time for discussion and exchanges will be set aside, allowing for an interactive and inclusive in-person event.

Topics: quantum information theory, mathematical physics, quantum machine learning, quantum trajectories, quantum computing, random quantum circuits