Quantum-annealing-inspired algorithms for multijet clustering

Jet clustering or reconstruction is a crucial component at high-energy colliders, a procedure to identify sprays of collimated particles originating from the fragmentation and hadronization of quarks and gluons. It is a complicated combinatorial optimization problem and requires intensive computing...

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Main Authors: Hideki Okawa, Xian-Zhe Tao, Qing-Guo Zeng, Man-Hong Yung
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Physics Letters B
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Online Access:http://www.sciencedirect.com/science/article/pii/S0370269325001534
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author Hideki Okawa
Xian-Zhe Tao
Qing-Guo Zeng
Man-Hong Yung
author_facet Hideki Okawa
Xian-Zhe Tao
Qing-Guo Zeng
Man-Hong Yung
author_sort Hideki Okawa
collection DOAJ
description Jet clustering or reconstruction is a crucial component at high-energy colliders, a procedure to identify sprays of collimated particles originating from the fragmentation and hadronization of quarks and gluons. It is a complicated combinatorial optimization problem and requires intensive computing resources. In this study, we formulate jet reconstruction as a quadratic unconstrained binary optimization (QUBO) problem and introduce novel quantum-annealing-inspired algorithms for clustering multiple jets in electron-positron collision events. One of these quantum-annealing-inspired algorithms, ballistic simulated bifurcation, overcomes problems previously observed in multijet clustering with quantum-annealing approaches. We find that both the distance defined in the QUBO matrix and the prediction power of the QUBO solvers have crucial impacts on the multijet clustering performance. This study opens up a new approach to globally reconstructing multijet beyond dijet in one go, in contrast to the traditional iterative method.
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publisher Elsevier
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series Physics Letters B
spelling doaj-art-55b4209d6ea34972b059070848d1e50f2025-08-20T02:26:50ZengElsevierPhysics Letters B0370-26932025-05-0186413939310.1016/j.physletb.2025.139393Quantum-annealing-inspired algorithms for multijet clusteringHideki Okawa0Xian-Zhe Tao1Qing-Guo Zeng2Man-Hong Yung3Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China; Corresponding author.Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; International Quantum Academy, Shenzhen, 518048, China; Guangdong Provincial Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Shenzhen Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, ChinaShenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; International Quantum Academy, Shenzhen, 518048, China; Guangdong Provincial Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Shenzhen Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, ChinaShenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; International Quantum Academy, Shenzhen, 518048, China; Guangdong Provincial Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Shenzhen Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, ChinaJet clustering or reconstruction is a crucial component at high-energy colliders, a procedure to identify sprays of collimated particles originating from the fragmentation and hadronization of quarks and gluons. It is a complicated combinatorial optimization problem and requires intensive computing resources. In this study, we formulate jet reconstruction as a quadratic unconstrained binary optimization (QUBO) problem and introduce novel quantum-annealing-inspired algorithms for clustering multiple jets in electron-positron collision events. One of these quantum-annealing-inspired algorithms, ballistic simulated bifurcation, overcomes problems previously observed in multijet clustering with quantum-annealing approaches. We find that both the distance defined in the QUBO matrix and the prediction power of the QUBO solvers have crucial impacts on the multijet clustering performance. This study opens up a new approach to globally reconstructing multijet beyond dijet in one go, in contrast to the traditional iterative method.http://www.sciencedirect.com/science/article/pii/S0370269325001534High-energy physicsJet clusteringQuantum computationQuantum annealingSimulated bifurcation
spellingShingle Hideki Okawa
Xian-Zhe Tao
Qing-Guo Zeng
Man-Hong Yung
Quantum-annealing-inspired algorithms for multijet clustering
Physics Letters B
High-energy physics
Jet clustering
Quantum computation
Quantum annealing
Simulated bifurcation
title Quantum-annealing-inspired algorithms for multijet clustering
title_full Quantum-annealing-inspired algorithms for multijet clustering
title_fullStr Quantum-annealing-inspired algorithms for multijet clustering
title_full_unstemmed Quantum-annealing-inspired algorithms for multijet clustering
title_short Quantum-annealing-inspired algorithms for multijet clustering
title_sort quantum annealing inspired algorithms for multijet clustering
topic High-energy physics
Jet clustering
Quantum computation
Quantum annealing
Simulated bifurcation
url http://www.sciencedirect.com/science/article/pii/S0370269325001534
work_keys_str_mv AT hidekiokawa quantumannealinginspiredalgorithmsformultijetclustering
AT xianzhetao quantumannealinginspiredalgorithmsformultijetclustering
AT qingguozeng quantumannealinginspiredalgorithmsformultijetclustering
AT manhongyung quantumannealinginspiredalgorithmsformultijetclustering