"With this, we can detect very tiny changes in both position and momentum at once, beyond the limit of any classical sensor," the authors explained.

In a proof-of-concept study that integrates smart materials, machine learning and an optical control system, a team of Rice researchers led by materials scientist Hanyu Zhu used a light-patterning ...