Advanced Bayesian samplers, especially sequential Monte Carlo with MCMC moves and tempered likelihood estimation, outperform Qiskit's default calibration fits on IBMQ hardware, cutting data needs by up to about 99% in the reported Ramsey and Hahn echo experiments.
Adaptive Hamiltonian Estimation Using Bayesian Experimental Design
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Calibration of Quantum Devices via Robust Statistical Methods
Advanced Bayesian samplers, especially sequential Monte Carlo with MCMC moves and tempered likelihood estimation, outperform Qiskit's default calibration fits on IBMQ hardware, cutting data needs by up to about 99% in the reported Ramsey and Hahn echo experiments.