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

Project Scientist: James Smith

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