"Learning and optimizing quantum control landscapes"
This event is part of the Condensed Matter Theory Seminar Series.
The ability to prepare quantum states rapidly and with high fidelity is crucial for quantum technologies. In this talk I will discuss the control problem of a chain of coupled qubits. In particular we will see that there exist phase transitions in the quantum state preparation problem and a possible mapping to a spin-glass model. We will also touch on how various optimization methods, including reinforcement learning, can help discover novel preparation protocols and in particular we will consider their robustness and their resource requirements.