论文信息 - Bayesian machine learning of frequency-bin CNOT

Bayesian machine learning of frequency-bin CNOT

We analyze the first experimental two-photon frequency-bin gate: a coincidence-basis CNOT. A novel characterization approach based on Bayesian machine learning is developed to estimate the gate performance with measurements in the logical basis alone. © 2019 The Author(s)

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