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Quantum Machine Learning
Supersensitive rotation sensor from superintegrability
arXiv
Authors: Leandro Hayato Ymai, Karin Wittmann Wilsmann, Joel Bacellar Neves, Arlei Prestes Tonel, Jon Links, Angela Foerster
Year
2026
Paper ID
60633
Status
Preprint
Abstract Read
~2 min
Abstract Words
82
Citations
N/A
Abstract
Detection based on quantum principles such as entanglement has the capacity to achieve finessed levels of sensitivity, bringing transformative impacts to applications. In this study, we propose a rotation sensor using ultra-cold dipolar atoms trapped in a four-well configuration. The design, based on a simple population imbalance measurement to quantify rotation, profits from the property of superintegrability. The implementation of the measurement protocol achieves rotation-detection sensitivity beyond the Heisenberg limit. Our results spotlight superintegrability opportunities for advancing the field of quantum sensing.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Detection based on quantum principles such as entanglement has the capacity to achieve finessed levels of sensitivity, bringing transformative impacts to applications.
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