Artificial intelligence and machine learning for quantum technologies
Mario Krenn, Jonas Landgraf, Thomas Foesel, Florian Marquardt
Abstract
In this Perspective, the authors review how machine learning, and more broadly methods of artificial intelligence, are utilized in advancing quantum technologies, specifically the design, control, calibration and optimization of quantum devices. They also discuss open challenges in the field and potential future directions within the next decade.
Topics & Concepts
Quantum machine learningComputer scienceQuantumQuantum computerPerspective (graphical)VisionQuantum information scienceQuantum technologyArtificial intelligenceOpen quantum systemPhysicsQuantum mechanicsSociologyAnthropologyQuantum entanglementQuantum Computing Algorithms and ArchitectureNeural Networks and Reservoir ComputingQuantum Information and Cryptography