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Driving innovations in manufacturing: Open Access research from DMEM

Strathprints makes available Open Access scholarly outputs by Strathclyde's Department of Design, Manufacture & Engineering Management (DMEM).

Centred on the vision of 'Delivering Total Engineering', DMEM is a centre for excellence in the processes, systems and technologies needed to support and enable engineering from concept to remanufacture. From user-centred design to sustainable design, from manufacturing operations to remanufacturing, from advanced materials research to systems engineering.

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Two-qubit Hamiltonian tomography by Bayesian analysis of noisy data

Schirmer, S.G. and Oi, D.K.L. (2009) Two-qubit Hamiltonian tomography by Bayesian analysis of noisy data. Physical Review A, 80 (2). ISSN 1094-1622

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Abstract

We present an empirical strategy to determine the Hamiltonian dynamics of a two-qubit system using only initialization and measurement in a single fixed basis. Signal parameters are estimated from measurement data using Bayesian methods from which the underlying Hamiltonian is reconstructed, up to three unobservable phase factors. We extend the method to achieve full control Hamiltonian tomography for controllable systems via a multistep approach. The technique is demonstrated and evaluated by analyzing data from simulated experiments including projection noise.