Neuromorphic Physics Research group

Neuromorphic physics harnesses multifunctional nanodevices to improve classical and quantum neural networks. Drawing inspiration from the brain, we leverage fundamental physics principles to enhance neuron- and synapse-mimicking components as well as learning algorithms. You can find our review article on this topic here: Nature Review Physics 2020 [arXiv]. Our research designs ultra-efficient devices that will analyze complex data and learn in real-time.

We are particularly focusing on:

The group was created by Julie Grollier in 2015 and is now composed of four senior researchers from CNRS and Thales with Danijela Marković, Frank Mizrahi and Dédalo Sanz Hernandez,

the PhD students,

Post-docs,

Master students,

and you can meet here our former group members: