467 citations · 641 across the 8 of their papers we have counts for
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quant-ph2021★ 2 cited
Monitoring fast superconducting qubit dynamics using a neural network
G. Koolstra, N. Stevenson, S. Barzili +11
Weak measurements of a superconducting qubit produce noisy voltage signals that are weakly correlated with the qubit state. To recover individual quantum trajectories from these no…
quant-ph2021★ 27 cited
Quantum-tailored machine-learning characterization of a superconducting qubit
Élie Genois, Jonathan A. Gross, Agustin Di Paolo +5
Machine learning (ML) is a promising approach for performing challenging quantum-information tasks such as device characterization, calibration and control. ML models can train dir…