Machine Learning Paves The Way For Next-Level Quantum Sensing

Researchers at the University of Bristol have reached new heights of sophistication in detecting magnetic fields with extreme sensitivity at room temperature by combining machine learning with a quantum sensor.

The findings, published in Physical Review X, could lead to a new generation of MRI scanners which use magnetic fields and radio waves to produce detailed images of the inside of the body, as well as further potential uses within biology and material science.

These findings were achieved using a combination of machine learning techniques—where computers adapt and learn from experience as humans and animals naturally do—and quantumsensing devices.

Researchers from the Quantum Engineering and Technology Labs (QETLabs) at the University of Bristol, in collaboration with the Institute for quantum optics of the University of Ulm and Microsoft, have demonstrated this using a quantum sensorbased on the electron-spin in a Nitrogen-vacancy (NV) centre in a diamond. READ MORE ON: PHYS.ORG