학술논문
Direct Collocation for Quantum Optimal Control
Document Type
Conference
Source
2023 IEEE International Conference on Quantum Computing and Engineering (QCE) QCE Quantum Computing and Engineering (QCE), 2023 IEEE International Conference on. 01:1278-1285 Sep, 2023
Subject
Language
Abstract
We present an adaptation of direct collocation - a trajectory optimization method commonly used in robotics and aerospace applications - to quantum optimal control (QOC); we refer to this method as Pade Integrator COllocation (PICO). This approach supports general nonlinear constraints on the states and controls, takes advantage of state-of-the-art large-scale nonlinear programming solvers, and has superior convergence properties compared to standard approaches like GRAPE and CRAB. PICO also allows for the formulation of novel free-time and minimum-time control problems - crucial for realizing high-performance quantum computers when the optimal pulse duration is not known a priori. We demonstrate PICO's performance both in simulation and on hardware with a 3D circuit cavity quantum electrodynamics system.