Quantum magnetometers leverage quantum particles’ unique properties to detect extremely small magnetic fields, with their ultimate sensitivity limits governed by quantum noise, parameter estimation theory, and energy resolution constraints that help define their true “quantumness.”
Using machine learning-optimized quantum locking techniques, scientists have transformed the previously limiting nonlinear Zeeman effect in Earth-field magnetometers into a quantum advantage by stabilizing naturally occurring spin squeezed states, enabling measurements beyond the standard quantum limit.
Researchers are designing a brain-imaging device that uses a new type of sensor placed on the surface of a person’s head.