Machine Learning for Discriminating Quantum Measurement Trajectories and Improving Readout

Physical Review Letters

Volumn 114, Issue 20, 2015, Pages

  Magesan, Easwar ^a   Gambetta, Jay M ^a   Corcoles A D ^a   Chow, Jerry M ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; QUANTUM COMPUTERS; SYSTEMATIC ERRORS; TRAJECTORIES;

CLASSIFICATION METHODS; CLUSTERING METHODS; EXPERIMENTAL PARAMETERS; NOISE CONDITIONS; NONLINEAR ALGORITHMS; QUANTUM MEASUREMENT; QUBIT MEASUREMENT; SUPERCONDUCTING QUBITS;

LEARNING SYSTEMS;

EID: 84930221712     PISSN: 00319007     EISSN: 10797114     Source Type: Journal    
DOI: 10.1103/PhysRevLett.114.200501     Document Type: Article

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