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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.
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  • 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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