Alicia Magann, Princeton University
Quantum computers promise a new paradigm for scientific computing, as they will offer a platform for solving certain scientific problems more efficiently than the classical computers of today. One example involves using quantum computers to simulate the dynamical behavior of other quantum systems, known as digital quantum simulation. In this poster, we explore how quantum computers can be used to perform quantum optimal control simulations, which involve the design of time-dependent fields for driving the dynamics of a given quantum system in a desired manner. We study digital quantum simulation approaches for efficiently simulating the quantum dynamics of a system of interest and then study how to combine these approaches with classical optimization algorithms for performing the control field design. We estimate the quantum resources needed to carry out such quantum control simulations, and numerical results are presented.
Abstract Author(s): Alicia Magann, Mohan Sarovar, Matthew Grace