While not directly related to our current work (but we hope this will be the case in a near future!), the study of entanglement distribution in quantum networks has developed our skill in dealing with hard theoretical problems. Moreover, many mathematical tools used in this field have proved to be very useful in concrete engineering projects. Robust, elegant and high-performing solutions can emerge from abstract concepts.
- Linear algebra, topology, graph theory, complex networks
- Information theory, entropy, cryptography
- Probability and statistics
- Optics, solid state physics
- Computational complexity, Monte-Carlo simulations