Notes on Quantum Computing for Thermal Science
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arXiv
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918422009348096 |
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| author | Asinari, Pietro Alghamdi, Nada De Angelis, Paolo Barletta, Giulio Trezza, Giovanni Provenzano, Marina Piredda, Matteo Maria Fasano, Matteo Chiavazzo, Eliodoro |
| author_facet | Asinari, Pietro Alghamdi, Nada De Angelis, Paolo Barletta, Giulio Trezza, Giovanni Provenzano, Marina Piredda, Matteo Maria Fasano, Matteo Chiavazzo, Eliodoro |
| contents | This document explores the potential of quantum computing in Thermal Science. Conceived as a living document, it will be continuously updated with experimental findings and insights for the research community in Thermal Science. By experiments, we refer both to the search for the most effective algorithms and to the performance of real quantum hardware. Those are fields that are evolving rapidly, driving a technological race to define the best architectures. The development of novel algorithms for engineering problems aims at harnessing the unique strengths of quantum computing. Expectations are high, as users seek concrete evidence of quantum supremacy - a true game changer for engineering applications. Among all heat transfer mechanisms (conduction, convection, radiation), we start with conduction as a paradigmatic test case in the field being characterized by a rich mathematical foundation for our investigations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_19109 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Notes on Quantum Computing for Thermal Science Asinari, Pietro Alghamdi, Nada De Angelis, Paolo Barletta, Giulio Trezza, Giovanni Provenzano, Marina Piredda, Matteo Maria Fasano, Matteo Chiavazzo, Eliodoro Computational Physics Quantum Physics This document explores the potential of quantum computing in Thermal Science. Conceived as a living document, it will be continuously updated with experimental findings and insights for the research community in Thermal Science. By experiments, we refer both to the search for the most effective algorithms and to the performance of real quantum hardware. Those are fields that are evolving rapidly, driving a technological race to define the best architectures. The development of novel algorithms for engineering problems aims at harnessing the unique strengths of quantum computing. Expectations are high, as users seek concrete evidence of quantum supremacy - a true game changer for engineering applications. Among all heat transfer mechanisms (conduction, convection, radiation), we start with conduction as a paradigmatic test case in the field being characterized by a rich mathematical foundation for our investigations. |
| title | Notes on Quantum Computing for Thermal Science |
| topic | Computational Physics Quantum Physics |
| url | https://arxiv.org/abs/2503.19109 |