Quantum State Estimation from Partial Tomography Data Using a Stack of Machine Learning Models and Imputation
Reconstruction of two-qubit systems typically performed using 36 coincidence measurements. We trained an ensemble of CNN & XGBoost ML models, employed imputation to demonstrate high-fidelity state estimation when multiple measurements are missing.
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Quantum State Estimation from Partial Tomography Data Using a Stack of Machine Learning Models and Imputation
Semantic Scholar · Physics · 2020
Abstract
Reconstruction of two-qubit systems typically performed using 36 coincidence measurements. We trained an ensemble of CNN & XGBoost ML models, employed imputation to demonstrate high-fidelity state estimation when multiple measurements are missing.