Quantum Landscapes: Non-Equilibrium, Circuits, and Complexity is a three-week thematic school hosted by CY Advanced Studies and the LPTM at theCYU Advanced Studies Institute.
Running from 17 May to 6 June 2026, the program offers an immersive introduction to cutting-edge theoretical, numerical, and conceptual tools for studying non-equilibrium quantum many-body physics.
Quantum many-body systems far from equilibrium lie at the heart of some of the most exciting developments in modern physics—from quantum circuits and tensor networks to emergent hydrodynamics, quantum computing, and machine-learning-based approaches to high-dimensional quantum problems. This school brings together leading experts and young researchers to explore these rapidly developing frontiers.
Participants will gain both broad conceptual foundations and hands-on exposure to state-of-the-art techniques used in quantum information science, condensed matter theory, and computational physics. The school combines lectures, tutorials, informal discussions, and scientific exchange in a dynamic, collaborative environment just outside Paris.
The school is designed for doctoral students and early-career researchers, but participation is open to everyone, subject to available places.
Accommodation & Meal Packages
Optional hospitality packages are available but not required for participation:
- Full Package (€500): accommodation, lunches, coffee breaks.
- Local Package (€200): lunches and coffee breaks only.
A limited amount of funding is available for students who require financial assistance. In particular, a limited number of participants may receive support from COST Action CA24109 – Many-Body Open Quantum Systems, in accordance with COST rules. Additional limited support from local sponsors may also be available for participants with demonstrated financial need. This information can be specified at the time of registration.
Interested participants (students and postdocs) are invited to register on this website (click on Registration). Deadline for Registration: 15/3/2026.
Organisation :
Pedro Ribeiro (U-Lisboa)
Andrea De Luca (ENS Paris)
Jacopo De Nardis (CYU)
Katja Klobas (U-Birmingham)
Objectives of the school
The school aims to provide participants with:
A foundational understanding of open quantum systems, decoherence, and non-equilibrium steady states.
An introduction to tensor network techniques for simulating quantum dynamics and entanglement growth.
Insights into machine-learning approaches to many-body problems, including neural-network quantum states and generative models.
A modern perspective on quantum circuits as tools to model and simulate many-body evolution.
A bridge between quantum computing and strongly interacting many-body systems.
An overview of hydrodynamics and emergent collective behavior in interacting quantum systems.
A conceptual framework linking random matrices, quantum chaos, and random tensor networks.
The school encourages cross-topic dialogue, highlighting how these approaches complement each other within a unified landscape of non-equilibrium physics.
Invited Lecturers
Bruno Bertini (School of Physics and Astronomy, University of Birmingham, UK)
Jérôme Dubail (CNRS — Centre Européen de Sciences Quantiques / University of Strasbourg / CESQ, France)
Jonathan Keeling (School of Physics and Astronomy, University of St Andrews, UK)
Zala Lenarčič (Department of Theoretical Physics, Jožef Stefan Institute, Ljubljana, Slovenia)
Silvia Pappalardi (Institut für Theoretische Physik, Universität zu Köln, Germany)
Georgios Styliaris (Max Planck Institute for Physics Munich, Germany)
Luca Tagliacozzo (CSIC — Spanish National Research Council)
Xhek Turkeshi (Institut für Theoretische Physik, Universität zu Köln, Germany)
Romain Vasseur (Department of Theoretical Physics, University of Geneva, Switzerland)
Acknowledgement
Cette école est soutenue par le CY Advanced Studies, l’ANR, le programme HORIZON de l’Union européenne (ERC StG HEPIQ) ainsi que par l’Action COST CA24109 – QOpen, financée par COST (Coopération européenne en science et technologie). COST est soutenu par le programme-cadre de l’Union européenne pour la recherche et l’innovation. Plus d’informations : https://www.cost.eu/actions/CA24109/