Matrix valued Szego polynomials and quantum random walks
M. J. Cantero, F. A. Gr\"unbaum, L. Moral, L. Velazquez

TL;DR
This paper introduces matrix-valued Szego polynomials as a tool to analyze quantum random walks on integers, extending classical orthogonal polynomial methods to quantum settings and revealing new phenomena in recurrence properties.
Contribution
It develops a framework using CMV matrices and matrix-valued orthogonal polynomials to study quantum random walks on non-negative integers, surpassing previous scalar approaches.
Findings
Analysis of recurrence properties in quantum walks on non-negative integers.
Application of matrix-valued Szego polynomials to quantum walk models.
Extension of classical birth-and-death process techniques to quantum case.
Abstract
We consider quantum random walks (QRW) on the integers, a subject that has been considered in the last few years in the framework of quantum computation. We show how the theory of CMV matrices gives a natural tool to study these processes and to give results that are analogous to those that Karlin and McGregor developed to study (classical) birth-and-death processes using orthogonal polynomials on the real line. In perfect analogy with the classical case the study of QRWs on the set of non-negative integers can be handled using scalar valued (Laurent) polynomials and a scalar valued measure on the circle. In the case of classical or quantum random walks on the integers one needs to allow for matrix valued versions of these notions. We show how our tools yield results in the well known case of the Hadamard walk, but we go beyond this translation invariant model to analyze examples that…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
