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An Approximate Algorithm for Quantum Hamiltonian Identification with Complexity Analysis

Wang, Yuanlong; Dong, Daoyi; Petersen, Ian; Zhang, Jun

Description

Identification of the Hamiltonian is vital for characterizing the dynamical evolution of a quantum system. The dimension of a multi-qubit system increases exponentially with the qubit number, which usually leads to daunting computational complexity for general Hamiltonian identification algorithms. In this paper, we design an efficient quantum Hamiltonian identification method based on periodical sampling. The computational complexity is O(M2 + MN2), where M is the number of unknown parameters...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
URI: http://hdl.handle.net/1885/232495
Source: IFAC-PapersOnLine
DOI: 10.1016/j.ifacol.2017.08.1949
Access Rights: Open Access

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