Title:Invited: Quantum Control Optimization for Near-Term Quantum Simulation and Variational Algorithms

ORAL · Invited

Abstract



Quantum control optimization is a critical part of quantum computer design that translates quantum algorithms into analog control signals. Near-term simulation of non-trivial many-body systems and different types of variational algorithms can drastically benefit from having access to parametrized quantum gates. I will review various challenges towards designing extremely high-fidelity quantum gates for parameterized single and two-qubit control optimization and the opportunities it brings to the new paradigm of hybrid digital and analog quantum simulations.

* Google Quantum AI

Publication: https://www.nature.com/articles/s41534-019-0141-3
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.125.120504
https://www.nature.com/articles/s41586-021-04257-w
https://arxiv.org/abs/2010.07965

Presenters

  • Murphy Yuezhen Niu

    University of Maryland, College Park, University of Maryland

Authors

  • Murphy Yuezhen Niu

    University of Maryland, College Park, University of Maryland