Quantum Dynamics and Control of Complex Systems

Whether it’s the heat produced by a laptop or the decoherence of qubits, all losses arise from our lack of control on the microscopic degrees of freedom of the system. Often, our inability to control the system stems from the complex emergent behavior of these many-body systems. Developing methods to understand and control this emergent behavior are paramount to the advancement of quantum information technologies.

In this project we develop new computational tools to study far from equilibrium quantum systems with a particular focus on problems in quantum computing. We use tools from machine learning, quasi-probability distributions and optimal control theory.

 

Project Leader: Dries Sels, Miles Stoudenmire

Project Scientist: Benedikt Kloss, Matija Medvidovic, Alev Orfi, Joseph Tindall

Advancing Research in Basic Science and MathematicsSubscribe to Flatiron Institute announcements and other foundation updates

privacy consent banner

Privacy preference

We use cookies to provide you with the best online experience. By clicking "Accept All," you help us understand how our site is used and enhance its performance. You can change your choice at any time here. To learn more, please visit our Privacy Policy.