End-to-end variational quantum sensing
Abstract Harnessing quantum correlations can enable sensing beyond classical precision limits, with the realization of such sensors poised for transformative impacts across science and engineering. Real devices, however, face the accumulated impacts of noise and architecture constraints, making the...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | npj Quantum Information |
| Online Access: | https://doi.org/10.1038/s41534-024-00914-w |
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| _version_ | 1849221033686466560 |
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| author | Benjamin MacLellan Piotr Roztocki Stefanie Czischek Roger G. Melko |
| author_facet | Benjamin MacLellan Piotr Roztocki Stefanie Czischek Roger G. Melko |
| author_sort | Benjamin MacLellan |
| collection | DOAJ |
| description | Abstract Harnessing quantum correlations can enable sensing beyond classical precision limits, with the realization of such sensors poised for transformative impacts across science and engineering. Real devices, however, face the accumulated impacts of noise and architecture constraints, making the design and success of practical quantum sensors challenging. Numerical and theoretical frameworks to optimize and analyze sensing protocols in their entirety are thus crucial for translating quantum advantage into widespread practice. Here, we present an end-to-end variational framework for quantum sensing protocols, where parameterized quantum circuits and neural networks form trainable, adaptive models for quantum sensor dynamics and estimation, respectively. The framework is general and can be adapted towards arbitrary qubit architectures, as we demonstrate with experimentally-relevant ansätze for trapped-ion and photonic systems, and enables to directly quantify the impacts that noise and finite data sampling. End-to-end variational approaches can thus underpin powerful design and analysis tools for practical quantum sensing advantage. |
| format | Article |
| id | doaj-art-d3d9a326736642d1ad693b5dbe5f8a4b |
| institution | Kabale University |
| issn | 2056-6387 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Quantum Information |
| spelling | doaj-art-d3d9a326736642d1ad693b5dbe5f8a4b2024-11-24T12:37:35ZengNature Portfolionpj Quantum Information2056-63872024-11-011011810.1038/s41534-024-00914-wEnd-to-end variational quantum sensingBenjamin MacLellan0Piotr Roztocki1Stefanie Czischek2Roger G. Melko3University of Waterloo, Department of Physics & AstronomyKi3 Photonics TechnologiesUniversity of Ottawa, Department of PhysicsUniversity of Waterloo, Department of Physics & AstronomyAbstract Harnessing quantum correlations can enable sensing beyond classical precision limits, with the realization of such sensors poised for transformative impacts across science and engineering. Real devices, however, face the accumulated impacts of noise and architecture constraints, making the design and success of practical quantum sensors challenging. Numerical and theoretical frameworks to optimize and analyze sensing protocols in their entirety are thus crucial for translating quantum advantage into widespread practice. Here, we present an end-to-end variational framework for quantum sensing protocols, where parameterized quantum circuits and neural networks form trainable, adaptive models for quantum sensor dynamics and estimation, respectively. The framework is general and can be adapted towards arbitrary qubit architectures, as we demonstrate with experimentally-relevant ansätze for trapped-ion and photonic systems, and enables to directly quantify the impacts that noise and finite data sampling. End-to-end variational approaches can thus underpin powerful design and analysis tools for practical quantum sensing advantage.https://doi.org/10.1038/s41534-024-00914-w |
| spellingShingle | Benjamin MacLellan Piotr Roztocki Stefanie Czischek Roger G. Melko End-to-end variational quantum sensing npj Quantum Information |
| title | End-to-end variational quantum sensing |
| title_full | End-to-end variational quantum sensing |
| title_fullStr | End-to-end variational quantum sensing |
| title_full_unstemmed | End-to-end variational quantum sensing |
| title_short | End-to-end variational quantum sensing |
| title_sort | end to end variational quantum sensing |
| url | https://doi.org/10.1038/s41534-024-00914-w |
| work_keys_str_mv | AT benjaminmaclellan endtoendvariationalquantumsensing AT piotrroztocki endtoendvariationalquantumsensing AT stefanieczischek endtoendvariationalquantumsensing AT rogergmelko endtoendvariationalquantumsensing |