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Optimal Experiment Design for Quantum State and Process Tomography and Hamiltonian Parameter Estimation
(2004)
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Abstract
A number of problems in quantum state and system identification are
addressed. Specifically, it is shown that the maximum likelihood estimation
(MLE) approach, already known to apply to quantum state tomography, is also
applicable to quantum process tomography (estimating the Kraus operator sum
representation (OSR)), Hamiltonian parameter...More
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