Quantum optimal control via gradient ascent in function space and the time-bandwidth quantum speed limit

TL;DR

This paper introduces a gradient ascent method for quantum control optimization that uses a basis expansion with Slepian sequences, efficiently achieving minimal evolution times and demonstrating the bound on entangling two-qubit gates.

Contribution

It presents a novel gradient-based quantum control synthesis method employing Slepian sequences for efficient bandwidth and time optimization.

Findings

Achieves the quantum speed limit for two-qubit entangling gates.

Demonstrates the effectiveness of the basis expansion in control optimization.

Recovers the theoretical minimum time scaling with bandwidth.

Abstract

A gradient ascent method for optimal quantum control synthesis is presented that employs a gradient derived with respect to the coefficients of a functional basis expansion of the control. Restricting the space of allowable controls to weighted sums of the Slepian sequences efficiently parameterizes the control in terms of bandwidth, resolution and pulse duration. A bound showing minimum time evolutions scaling with the inverse of the control bandwidth [S. Lloyd and S. Montangero, PRL, 113, 010502, (2014)] is recovered and the method is shown numerically to achieve the bound on entangling two-qubit quantum gates.