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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.20388 |
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| _version_ | 1866911286351101952 |
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| author | Vovrosh, Joseph Mendes-Santos, Tiago Mamann, Hadriel Bidzhiev, Kemal Hayes, Fergus Ximenez, Bruno Béguin, Lucas Dalyac, Constantin Dauphin, Alexandre |
| author_facet | Vovrosh, Joseph Mendes-Santos, Tiago Mamann, Hadriel Bidzhiev, Kemal Hayes, Fergus Ximenez, Bruno Béguin, Lucas Dalyac, Constantin Dauphin, Alexandre |
| contents | We estimate the run-time and energy consumption of simulating non-equilibrium dynamics on neutral atom quantum computers in analog mode, directly comparing their performance to state-of-the-art classical methods, namely Matrix Product States and Neural Quantum States. By collecting both experimental data from a quantum processing unit (QPU) in analog mode and numerical benchmarks, we enable accurate predictions of run-time and energy consumption for large-scale simulations on both QPUs and classical systems through fitting of theoretical scaling laws. Our analysis shows that neutral atom devices are already operating in a competitive regime, achieving comparable or superior performance to classical approaches while consuming significantly less energy. These results demonstrate the potential of analog neutral atom quantum computing for energy-efficient simulation and highlight a viable path toward sustainable computational strategies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_20388 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Resource assessment of classical and quantum hardware for post-quench dynamics Vovrosh, Joseph Mendes-Santos, Tiago Mamann, Hadriel Bidzhiev, Kemal Hayes, Fergus Ximenez, Bruno Béguin, Lucas Dalyac, Constantin Dauphin, Alexandre Quantum Physics Strongly Correlated Electrons We estimate the run-time and energy consumption of simulating non-equilibrium dynamics on neutral atom quantum computers in analog mode, directly comparing their performance to state-of-the-art classical methods, namely Matrix Product States and Neural Quantum States. By collecting both experimental data from a quantum processing unit (QPU) in analog mode and numerical benchmarks, we enable accurate predictions of run-time and energy consumption for large-scale simulations on both QPUs and classical systems through fitting of theoretical scaling laws. Our analysis shows that neutral atom devices are already operating in a competitive regime, achieving comparable or superior performance to classical approaches while consuming significantly less energy. These results demonstrate the potential of analog neutral atom quantum computing for energy-efficient simulation and highlight a viable path toward sustainable computational strategies. |
| title | Resource assessment of classical and quantum hardware for post-quench dynamics |
| topic | Quantum Physics Strongly Correlated Electrons |
| url | https://arxiv.org/abs/2511.20388 |