Southwest Quantum Information and Technology

Quantum optimal control on Jaynes-Cummings lattices

Presenting Author: Prabin Parajuli, University of California Merced

Engineering quantum states and quantum dynamics that are resilient against noises and errors require the precise manipulation of quantum devices. The well-established adiabatic algorithm often requires a long evolution time to maintain a quantum system in a desired many-body state. However, a long evolution time makes the system prone to decoherence and errors. The quantum optimal control (QOC) technique has been studied to overcome this limitation. Here we study the preparation of many-body ground states in Jaynes-Cummings lattices using the QOC with the Chopped-Random Basis (CRAB) algorithm. Our result shows that high-fidelity state preparation can be achieved using the CRAB algorithm in a significantly shorter time than that of the adiabatic algorithm. We also find the minimal evolution time for achieving high fidelity under a given set of optimization constraints. This study can lead to the development of fast and efficient quantum algorithms for the preparation of many-body states.

(Session 5 : Thursday from 12:00pm-2:00 pm)