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Benchmarking machine learning models for quantum state classification
Edoardo Pedicillo, Andrea Pasquale, S. Carrazza·September 14, 2023·DOI: 10.48550/arXiv.2309.07679
PhysicsComputer Science
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Abstract
Quantum computing is a growing field where the information is processed by two-levels quantum states known as qubits. Current physical realizations of qubits require a careful calibration, composed by different experiments, due to noise and decoherence phenomena. Among the different characterization experiments, a crucial step is to develop a model to classify the measured state by discriminating the ground state from the excited state. In this proceedings we benchmark multiple classification techniques applied to real quantum devices.