New QUBO Transformations to Improve Quantum and Simulated Annealing Performance for Quadratic Knapsack

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Nicolás Borrajo, Juan Marcos Ramírez, Farzam Nosrati, Jose Aguilar, Vincenzo Mancuso, Antonio Fernández Anta
DOI: 10.5281/zenodo.18542279
Cited by: 0

Abstract

Paper presented at the Quantum Artificial Intelligence & Optimization Workshop 2026 Borrajo, N., Ramírez, J. M., Nosrati, F., Aguilar, J., Mancuso, V. and Anta, A. F. New QUBO Transformations to Improve Quantum and Simulated Annealing Performance for Quadratic Knapsack. DOI: 10.5220/0014607400004052 Paper published under CC license (CC BY-NC-ND 4.0) In Proceedings of the 18th International Conference on Agents and Artificial Intelligence (ICAART 2026) - Volume 1, pages 752-763 ISBN: 978-989-758-796-2; ISSN: 2184-433X Proceedings Copyright © 2026 by SCITEPRESS – Science and Technology Publications, Lda

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Metaheuristic Optimization Algorithms Research Optimization and Packing Problems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 March 2026