Multidisk Clutch Optimization Using Quantum Annealing
In this article, we apply a quantum optimization algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applications in the manufacturing sector. Using the quant...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Transactions on Quantum Engineering |
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| Online Access: | https://ieeexplore.ieee.org/document/10632778/ |
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| author | D. John Malcolm Alexander Roth Mladjan Radic Pablo Martin-Ramiro Jon Oillarburu Borja Aizpurua Roman Orus Samuel Mugel |
| author_facet | D. John Malcolm Alexander Roth Mladjan Radic Pablo Martin-Ramiro Jon Oillarburu Borja Aizpurua Roman Orus Samuel Mugel |
| author_sort | D. John Malcolm |
| collection | DOAJ |
| description | In this article, we apply a quantum optimization algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applications in the manufacturing sector. Using the quantum annealer provided by D-Wave Systems, we analyze the performance of the quantum and quantum–classical hybrid solvers and compare them to deterministic- and random-algorithm classical benchmark solvers. The continued evolution of the quantum technology, indicating an expectation for even greater relevance in the future, is discussed, and the revolutionary potential it could have in the manufacturing sector is highlighted. |
| format | Article |
| id | doaj-art-de825f6997664cdc9ef3749eda0dcee0 |
| institution | Kabale University |
| issn | 2689-1808 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Quantum Engineering |
| spelling | doaj-art-de825f6997664cdc9ef3749eda0dcee02025-01-25T00:03:47ZengIEEEIEEE Transactions on Quantum Engineering2689-18082024-01-01511010.1109/TQE.2024.344122910632778Multidisk Clutch Optimization Using Quantum AnnealingD. John Malcolm0Alexander Roth1Mladjan Radic2Pablo Martin-Ramiro3https://orcid.org/0000-0001-5858-5783Jon Oillarburu4https://orcid.org/0000-0003-3362-2159Borja Aizpurua5https://orcid.org/0009-0009-7510-1192Roman Orus6Samuel Mugel7Multiverse Computing, Centre for Social Innovation, Toronto, ON, CanadaZF Friedrichshafen AG, Research and Development, Friedrichshafen, GermanyZF Friedrichshafen AG, Research and Development, Friedrichshafen, GermanyMultiverse Computing, Parque Cientifico y Tecnológico de Gipuzkoa, Donostia/San Sebastián, SpainMultiverse Computing, Parque Cientifico y Tecnológico de Gipuzkoa, Donostia/San Sebastián, SpainMultiverse Computing, Parque Cientifico y Tecnológico de Gipuzkoa, Donostia/San Sebastián, SpainMultiverse Computing, Parque Cientifico y Tecnológico de Gipuzkoa, Donostia/San Sebastián, SpainMultiverse Computing, Centre for Social Innovation, Toronto, ON, CanadaIn this article, we apply a quantum optimization algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applications in the manufacturing sector. Using the quantum annealer provided by D-Wave Systems, we analyze the performance of the quantum and quantum–classical hybrid solvers and compare them to deterministic- and random-algorithm classical benchmark solvers. The continued evolution of the quantum technology, indicating an expectation for even greater relevance in the future, is discussed, and the revolutionary potential it could have in the manufacturing sector is highlighted.https://ieeexplore.ieee.org/document/10632778/Clutch manufacturingcombinatorial optimizationquadratic unconstrained binary optimization (QUBO) formulationsquantum annealingquantum computing applicationsquantum–classical hybrid algorithms |
| spellingShingle | D. John Malcolm Alexander Roth Mladjan Radic Pablo Martin-Ramiro Jon Oillarburu Borja Aizpurua Roman Orus Samuel Mugel Multidisk Clutch Optimization Using Quantum Annealing IEEE Transactions on Quantum Engineering Clutch manufacturing combinatorial optimization quadratic unconstrained binary optimization (QUBO) formulations quantum annealing quantum computing applications quantum–classical hybrid algorithms |
| title | Multidisk Clutch Optimization Using Quantum Annealing |
| title_full | Multidisk Clutch Optimization Using Quantum Annealing |
| title_fullStr | Multidisk Clutch Optimization Using Quantum Annealing |
| title_full_unstemmed | Multidisk Clutch Optimization Using Quantum Annealing |
| title_short | Multidisk Clutch Optimization Using Quantum Annealing |
| title_sort | multidisk clutch optimization using quantum annealing |
| topic | Clutch manufacturing combinatorial optimization quadratic unconstrained binary optimization (QUBO) formulations quantum annealing quantum computing applications quantum–classical hybrid algorithms |
| url | https://ieeexplore.ieee.org/document/10632778/ |
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