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
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Electrodynamics
Quantum computing
Three-dimensional displays
Pipelines
Optimal control
Programming
Hardware
quantum optimal control
superconducting qubits
direct collocation
nonlinear programming
numerical methods
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.