Optimal Control of Families of Quantum Gates
Frédéric Sauvage, Florian Mintert
Abstract
Quantum optimal control (QOC) enables the realization of accurate operations, such as quantum gates, and supports the development of quantum technologies. To date, many QOC frameworks have been developed, but those remain only naturally suited to optimize a single targeted operation at a time. We extend this concept to optimal control with a continuous family of targets, and demonstrate that an optimization based on neural networks can find families of time-dependent Hamiltonians realizing desired classes of quantum gates in minimal time.
Topics & Concepts
Realization (probability)Computer scienceQuantumQuantum gateQuantum networkOptimal controlControl (management)Quantum controlQuantum computerTopology (electrical circuits)PhysicsQuantum mechanicsMathematicsMathematical optimizationArtificial intelligenceCombinatoricsStatisticsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyAdvanced Thermodynamics and Statistical Mechanics