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Parameter estimation with reluctant quantum walks

preprint
posted on 2023-05-21, 10:28 authored by Ellinas, D, Peter JarvisPeter Jarvis, Pearce, M
The parametric maximum likelihood estimation problem is addressed in the context of quantum walk theory for quantum walks on the line, or on a finite ring. Two different coin reshuffling actions are presented, with the real parameter θ to be estimated being identified either with the angular argument of an orthogonal reshuffling matrix, or the phase of a unitary reshuffling matrix, acting in a 2 state coin space, respectively. We provide analytic results for the probability distribution for a quantum walker to be displaced by d units from its initial position after k steps. For k large, we show that the likelihood is sharply peaked at a displacement determined by the ratio d/k, which is correlated with the reshuffling parameter θ. We suggest that this ‘reluctant walker’ behaviour provides the framework for maximum likelihood estimation analysis, allowing for robust parameter estimation of θ via measurement of the walker ‘reluctance index’ r = d/k.

History

ISSN

2331-8422

Department/School

School of Natural Sciences

Publisher

Cornell University

Place of publication

online

Preprint server

arXiv

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the mathematical sciences; Expanding knowledge in the physical sciences