Learning interpretable representations of entanglement in quantum optics experiments using deep generative models
Daniel Flam-Shepherd, Tony Wu, Xuemei Gu, Alba Cervera-Lierta, Mario Krenn, Alán Aspuru‐Guzik
Topics & Concepts
AutoencoderQuantum entanglementQuantumPhysicsQuantum opticsQuantum mechanicsQuantum sensorQuantum informationStatistical physicsTheoretical physicsComputer scienceDeep learningArtificial intelligenceQuantum networkNeural Networks and Reservoir ComputingComputational Physics and Python ApplicationsScientific Computing and Data Management