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Robotic vectorial field alignment for spin-based quantum sensors

Quantum Physics 2024-02-09 v2 Applied Physics

Abstract

Developing practical quantum technologies will require the exquisite manipulation of fragile systems in a robust and repeatable way. As quantum technologies move towards real world applications, from biological sensing to communication in space, increasing experimental complexity introduces constraints that can be alleviated by the introduction of new technologies. Robotics has shown tremendous progress in realising increasingly smart, autonomous and highly dexterous machines. Here, we demonstrate that a robotic arm equipped with a magnet can sensitise an NV centre quantum magnetometer in challenging conditions unachievable with standard techniques. We generate vector magnetic field with 11^\circ angular and 0.1 mT amplitude accuracy and determine the orientation of a single stochastically-aligned spin-based sensor in a constrained physical environment. Our work opens up the prospect of integrating robotics across many quantum degrees of freedom in constrained settings, allowing for increased prototyping speed, control, and robustness in quantum technology applications.

Keywords

Cite

@article{arxiv.2305.17027,
  title  = {Robotic vectorial field alignment for spin-based quantum sensors},
  author = {Joe A. Smith and Dandan Zhang and Krishna C. Balram},
  journal= {arXiv preprint arXiv:2305.17027},
  year   = {2024}
}

Comments

11 pages, 4 figures. Small correction in first paragraph

R2 v1 2026-06-28T10:47:41.747Z