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Robotic Vectorial Field Alignment for Spin-Based Quantum Sensors
Joe A Smith1, Dandan Zhang2, Krishna C Balram1
1Quantum Engineering Technology Labs and Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS8 1FD, UK.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|November 17, 2023
Summary
Robotics enhances quantum sensing by using a robotic arm to precisely control a nitrogen-vacancy (NV) center magnetometer. This allows for accurate vector magnetic field measurements in challenging, constrained environments, improving quantum technology development.
Area of Science:
- Quantum Technologies
- Robotics
- Quantum Sensing
Background:
- Practical quantum technologies require precise manipulation of delicate quantum systems.
- Increasing experimental complexity in quantum applications necessitates advanced control techniques.
- Robotics offers smart, autonomous, and dexterous solutions for complex manipulation tasks.
Purpose of the Study:
- To demonstrate the integration of robotics with quantum sensing for enhanced control.
- To overcome limitations of standard techniques in manipulating quantum sensors in constrained environments.
- To enable precise vector magnetic field generation for spin-based quantum sensors.
Main Methods:
- Utilizing a robotic arm equipped with a magnet to interact with a nitrogen-vacancy (NV) center quantum magnetometer.
- Generating vector magnetic fields with high angular (1°) and amplitude (0.1 mT) accuracy.
- Determining the orientation of a single, stochastically-aligned spin-based sensor within a confined space.
Main Results:
- Successful sensitization of an NV center quantum magnetometer using a robotic arm in challenging conditions.
- Accurate vector magnetic field generation and sensor orientation determination achieved.
- Demonstrated feasibility of robotic manipulation for quantum sensors in constrained physical environments.
Conclusions:
- Robotics can be integrated with various quantum degrees of freedom in constrained settings.
- This integration enhances prototyping speed, control, and robustness for quantum technology applications.
- Opens new avenues for developing practical quantum technologies through advanced robotic manipulation.

