A Framework for Quantum Advantage
Fuente:
arXiv
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866909689193693184 |
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| author | Lanes, Olivia Beji, Mourad Corcoles, Antonio D. Dalyac, Constantin Gambetta, Jay M. Henriet, Loic Javadi-Abhari, Ali Kandala, Abhinav Mezzacapo, Antonio Porter, Christopher Sheldon, Sarah Watrous, John Zoufal, Christa Dauphin, Alexandre Peropadre, Borja |
| author_facet | Lanes, Olivia Beji, Mourad Corcoles, Antonio D. Dalyac, Constantin Gambetta, Jay M. Henriet, Loic Javadi-Abhari, Ali Kandala, Abhinav Mezzacapo, Antonio Porter, Christopher Sheldon, Sarah Watrous, John Zoufal, Christa Dauphin, Alexandre Peropadre, Borja |
| contents | As quantum computing approaches the threshold where certain tasks demonstrably outpace their classical machines, the need for a precise, clear, consensus-driven definition of quantum advantage becomes essential. Rapid progress in the field has blurred this term across companies, architectures, and application domains. Here, we aim to articulate an operational definition for quantum advantage that is both platform-agnostic and empirically verifiable. Building on this framework, we highlight the algorithmic families most likely to achieve early advantage. Finally, we outline our vision for the near future, in which quantum computers enhance existing high-performance computing platforms, enabling new frontiers in chemistry, materials discovery, optimization, and beyond. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20658 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Framework for Quantum Advantage Lanes, Olivia Beji, Mourad Corcoles, Antonio D. Dalyac, Constantin Gambetta, Jay M. Henriet, Loic Javadi-Abhari, Ali Kandala, Abhinav Mezzacapo, Antonio Porter, Christopher Sheldon, Sarah Watrous, John Zoufal, Christa Dauphin, Alexandre Peropadre, Borja Quantum Physics As quantum computing approaches the threshold where certain tasks demonstrably outpace their classical machines, the need for a precise, clear, consensus-driven definition of quantum advantage becomes essential. Rapid progress in the field has blurred this term across companies, architectures, and application domains. Here, we aim to articulate an operational definition for quantum advantage that is both platform-agnostic and empirically verifiable. Building on this framework, we highlight the algorithmic families most likely to achieve early advantage. Finally, we outline our vision for the near future, in which quantum computers enhance existing high-performance computing platforms, enabling new frontiers in chemistry, materials discovery, optimization, and beyond. |
| title | A Framework for Quantum Advantage |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2506.20658 |