Discrete-time Quantum Walk on Multilayer Networks
M. N. Jayakody, Priodyuti Pradhan, Dana Ben Porath, E. Cohen

TL;DR
This paper investigates the behavior of discrete-time quantum walks on multilayer networks, deriving formulas and simulation models to analyze quantum transport, including effects of decoherence, on complex interconnected systems.
Contribution
It introduces a novel framework for modeling quantum walks on multilayer networks, extending recurrence relations and simulation techniques to multi-layered structures.
Findings
Derived recurrence formulas for quantum walk coefficients.
Developed a simulation model for multilayer quantum walks.
Analyzed the impact of decoherence on quantum transport.
Abstract
Multilayer network is a potent platform which paves a way to study the interactions among entities in various networks with multiple types of relationships. In this study, the dynamics of discrete-time quantum walk on a multilayer network are explored in detail. We derive recurrence formulae for the coefficients of the wave function of a quantum walker on an undirected graph with finite number of nodes. By extending these formulae to include extra layers, we develop a simulation model to describe the time-evolution of the quantum walker on a multilayer network. The time-averaged probability and the return probability of the quantum walker are studied in relation to Fourier and Grover walks on multilayer networks. Furthermore, we analyze the impact of decoherence on the quantum transport, shedding light on how environmental interactions may impact the behavior of quantum walkers on…
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Taxonomy
TopicsComplex Network Analysis Techniques · Neural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture
