Bayesian approach to Hamiltonian parameter estimation and measurement of double quantum dot

Abstract

We analyze and optimize double-quantum-dot qubit Hamiltonian parameter estimation algorithms based on the Bayesian updating approach. The theoretical framework for measurement and parameter estimation processes are developed, and we provide numerical simulations showing the algorithms' performance.