Quantum random walks and their convergence
Lingaraj Sahu

TL;DR
This paper establishes the strong convergence of quantum random walks with bounded structure maps, extending previous results to infinite-dimensional noise using coordinate-free quantum stochastic calculus.
Contribution
It introduces a coordinate-free approach to quantum random walks and proves their strong convergence in the infinite-dimensional noise setting.
Findings
Proved strong convergence of quantum random walks with bounded structure maps.
Extended convergence results from one-dimensional to infinite-dimensional noise.
Utilized coordinate-free quantum stochastic calculus for the analysis.
Abstract
Using coordinate-free basic operators on toy Fock spaces \cite{AP}, quantum random walks are defined following the ideas in \cite{LP,AP}. Strong convergence of quantum random walks associated with bounded structure maps is proved under suitable assumptions, extendings the result obtained in \cite{KBS} in case of one dimensional noise. To handle infinite dimensional noise we have used the coordinate-free language of quantum stochastic calculus developed in \cite{GS1}.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
