Comparing Quantum Annealing and BF-DCQO
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866915500380913664 |
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| author | Farré, Pau Ordog, Erika Chern, Kevin McGeoch, Catherine C. |
| author_facet | Farré, Pau Ordog, Erika Chern, Kevin McGeoch, Catherine C. |
| contents | Recent work [1] has claimed that a gate-model quantum-classical hybrid algorithm called bias-field digitized counterdiabatic quantum optimization (BF-DCQO) [2] outperforms D-Wave's annealing quantum computers in optimization tasks. We find the opposite to be true, and demonstrate that D-Wave's quantum annealers find solutions of far greater quality than claimed in Ref. [1], while using far less computation time. We also present evidence that suggests the quantum component of the hybrid approach makes minimal contributions to solution quality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14358 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Comparing Quantum Annealing and BF-DCQO Farré, Pau Ordog, Erika Chern, Kevin McGeoch, Catherine C. Quantum Physics Recent work [1] has claimed that a gate-model quantum-classical hybrid algorithm called bias-field digitized counterdiabatic quantum optimization (BF-DCQO) [2] outperforms D-Wave's annealing quantum computers in optimization tasks. We find the opposite to be true, and demonstrate that D-Wave's quantum annealers find solutions of far greater quality than claimed in Ref. [1], while using far less computation time. We also present evidence that suggests the quantum component of the hybrid approach makes minimal contributions to solution quality. |
| title | Comparing Quantum Annealing and BF-DCQO |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2509.14358 |