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Eigenstate extraction with neural-network tomography

Abhijeet Melkani, Clemens Gneiting, Franco Nori

2020Physical review. A/Physical review, A40 citationsDOIOpen Access PDF

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
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