Event time:
Tuesday, January 14, 2020 - 1:00pm to 2:00pm
Location:
YQI Seminar Room
Event description:
Prospects of Optimal Control for Superconducting Circuits
Numerical optimal control theory (OCT) is a versatile tool for steering the dynamics of a quantum system in some desired way. I will demonstrate several examples of how OCT techniques have been used for applications around superconducting circuits. These include novel functionals for the general maximization of entanglement and the use of multi-stage optimization to explore the possible parameter space of transmon qubits, for the implementation of a full universal set of quantum gates. Based on a recent review of optimization methods, I will give an overview of the state of the art of numerical quantum control, exploring the tension between fundamental numerical exploration and experimentally constrained implementation. Lastly, I will give an outlook on how novel ideas from machine learning, such as automatic differentiation, may enable new and flexible OCT software that may bring to fruition the full potential of OCT as a key to the realization of quantum technology.