A Projection Operator-based Newton Method for the Trajectory Optimization of Closed Quantum Systems

Abstract

Quantum optimal control is an important technology that enables fast state preparation and gate design. In the absence of an analytic solution, most quantum optimal control methods rely on an iterative scheme to update the solution estimate. At present, the convergence rate of existing solvers is at most superlinear. This paper develops a new general purpose solver for quantum optimal control based on the PRojection Operator Newton method for Trajectory Optimization, or PRONTO. Specifically, the proposed approach uses a projection operator to incorporate the Schrödinger equation directly into the cost function, which is then minimized using a quasi-Newton method. At each iteration, the descent direction is obtained by computing the analytic solution to a Linear-Quadratic trajectory optimization problem. The resulting method guarantees monotonic convergence at every iteration and quadratic convergence in proximity of the solution. To highlight the potential of PRONTO, we present an numerical example that employs it to solve the optimal state-to-state mapping problem for a qubit and compares its performance to a state-of-the-art quadratic optimal control method.

10 pages

References in corpus (3)

• Simple pulses for elimination of leakage in weakly nonlinear qubits
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• Optimal Zeno Dragging for Quantum Control: A Shortcut to Zeno with Action-based Scheduling Optimization
• Solving quantum optimal control problems using projection-operator-based Newton steps
• Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe
• Iterative Linear Quadratic Regulator for Quantum Optimal Control