- Position
- Senior Scientist | Associate Professor
- Speciality
- Experimental Physics
- Field
- Quantum information
- Institution
- CNRS, Paris, France
- Research Page
- https://www.neurophysics.cnrs-thales.fr
- Google Scholar
- https://scholar.google.com/citations?user=AFzHWaoAAAAJ&hl=en
Short bio
Danijela Marković is a CNRS researcher at Laboratoire Albert Fert (CNRS/Thales/Université Paris-Saclay) in France. Her research lies at the intersection of quantum physics, machine learning, and neuromorphic computing. She develops quantum neural networks based on superconducting circuits, exploring how quantum dynamics can be harnessed for information processing and learning. In 2022, she was awarded an ERC Starting Grant to develop quantum dynamical neural networks based on coupled bosonic modes. She also teaches quantum physics at École polytechnique.
Key words
superconducting circuitsneuromorphic quantum machine learningparametric couplingbosonic modes