Hamiltonian identification for quantum systems via quantum ensemble classification
CHEN Chun-lin
Abstract：In this paper, a hamiltonian identification approach is proposed for quantum systems using quantum ensem-ble classification. First, the quantum ensemble classification method is introduced by combining sampling-based learning control and gradient flow algorithms, which helps discriminate different quantum systems whose hamiltonian parameters falling in different intervals, respectively. Second, the intervals for the parameters to be identified are estimated via cross verification to achieve a reliable result. Third, the hamiltonian parameters are identified by successively refining the esti-mated intervals. Finally, the effectiveness and practicability of the proposed hamiltonian identification approach is verified using numerical simulation.
Keywords：quantum ensemble classificationHamiltonian identificationsampling-based learning controlquantum learning control
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1460-1464 )