Eigenstate extraction with neural-network tomography
Abhijeet Melkani, Clemens Gneiting, Franco Nori
Abstract
A scheme for quantum state tomography based on an efficient neural network representation is demonstrated. The method, tailored to a relevant class of nearly pure states, or simple mixed states, was tested using experimental data from trapped-ion experiments with four to eight qubits.
Topics & Concepts
Quantum tomographyQubitArtificial neural networkTomographyEigenvalues and eigenvectorsRepresentation (politics)Class (philosophy)Quantum stateComputer scienceSimple (philosophy)PhysicsQuantumAlgorithmTopology (electrical circuits)Artificial intelligenceStatistical physicsQuantum mechanicsMathematicsOpticsCombinatoricsLawPhilosophyPolitical sciencePoliticsEpistemologyQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum many-body systems