Quantum Approaches to the Quadratic Assignment Problem

The Quadratic Assignment Problem (QAP) is an NP-hard fundamental combinatorial optimization problem introduced by Koopmans and Beckmann in 1957. The problem is to assign $n$ facilities to $n$ different locations with the goal of minimizing the cost of the total distances between facilities weighted by the corresponding flows. We initiate the study of using Rydberg arrays to find optimal solutions to the QAP and provide a complementing circuit theory to facilitate an easy representation of other hard problems. We provide an algorithm for finding valid and optimal solutions to the QAP using Rydberg arrays.

Publication Details

Journal
ArXiv.org
Published
2025-04-30
Primary Topic
Complexity and Algorithms in Graphs
Type
article
Field-Weighted Citation Impact
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Quantum Approaches to the Quadratic Assignment Problem

ArXiv.org
Complexity and Algorithms in Graphs
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Quantum Approaches to the Quadratic Assignment Problem

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Abstract

The Quadratic Assignment Problem (QAP) is an NP-hard fundamental combinatorial optimization problem introduced by Koopmans and Beckmann in 1957. The problem is to assign $n$ facilities to $n$ different locations with the goal of minimizing the cost of the total distances between facilities weighted by the corresponding flows. We initiate the study of using Rydberg arrays to find optimal solutions to the QAP and provide a complementing circuit theory to facilitate an easy representation of other hard problems. We provide an algorithm for finding valid and optimal solutions to the QAP using Rydberg arrays.

ArXiv.org
Openalex Percentile: Top 48%
Complexity and Algorithms in Graphs
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Quantum Approaches to the Quadratic Assignment Problem · ArXiv.org (2025) | TGRS Research Map | TGRS