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On the quantum simulation of complex networks

by Duarte Magano, João Moutinho, Bruno Coutinho

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Submission summary

Authors (as registered SciPost users): Duarte Magano
Submission information
Preprint Link: https://arxiv.org/abs/2212.06126v3  (pdf)
Date accepted: 2023-07-20
Date submitted: 2023-06-27 09:37
Submitted by: Magano, Duarte
Submitted to: SciPost Physics
Ontological classification
Academic field: Physics
Specialties:
  • Quantum Physics
Approaches: Theoretical, Computational

Abstract

Quantum walks provide a natural framework to approach graph problems with quantum computers, exhibiting speedups over their classical counterparts for tasks such as the search for marked nodes or the prediction of missing links. Continuous-time quantum walk algorithms assume that we can simulate the dynamics of quantum systems where the Hamiltonian is given by the adjacency matrix of the graph. It is known that such can be simulated efficiently if the underlying graph is row-sparse and efficiently row-computable. While this is sufficient for many applications, it limits the applicability for this class of algorithms to study real world complex networks, which, among other properties, are characterized by the existence of a few densely connected nodes, called hubs. In other words, complex networks are typically not row-sparse, even though the average connectivity over all nodes can be very small. In this work, we extend the state-of-the-art results on quantum simulation to graphs that contain a small number of hubs, but that are otherwise sparse. Hopefully, our results may lead to new applications of quantum computing to network science.

List of changes

1) We removed an unwanted repetition of "in the i-th row of A"
2) We corrected the typo “Schödinger” -> “Schrödinger”

Published as SciPost Phys. Core 6, 058 (2023)

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