PhD student
Team : QI
Arrival date : 09/01/2018
    Sorbonne Université - LIP6
    Boîte courrier 169
    Couloir 25-26, Étage 1, Bureau 103
    4 place Jussieu
    75252 PARIS CEDEX 05

Tel: +33 1 44 27 70 29, Nathan.Shettell (at)

Supervision : Damian MARKHAM

Quantum Information Networks using Graph States

Quantum information offers the possibility of unparalleled advantages in levels of security and computational power, and quantum technologies promise revolutionary boosts for sensing and imaging. By now quantum communication protocols between two parties are well developed, with systems for quantum key distribution commercially available and devices for quantum sensing imaging are on the point of being industrialised. Between these and the elusive full-scale quantum computer there is a vast unutilised gap. Not only is this a waste, it misses out on the great potential that a quantum network can offer. This project aims to fill this hole and make decisive moves towards a quanutm internet. Our vision of a quantum network is one where different users have different technological powers, some with only classical capabilities, some with limited quantum and very few (if any) with quantum computers. We will explore how such networks can already offer great advantages for example in allowing delegated and verified use of quantum technologies – not only full scale computers, but limited computers, sensing divices and communication devices. In this way the power of the quantum network will not simply be the combined powers of individual protocols and devices but new utility will emerge as they can be combined in new ways. The flip side of this vision will be the exploration of the foundations of quantum physics as seen from a network utility perspective. The graph state framework represents an unrivalled opportunity to do this. Not only can essentially all quantum information protocols be written in this framework, it provides the natural language to combine different primitives and protocols, key to a network’s usefulness. In addition, it is ideally suited for implementation, representing the pinnacle of success in implementations to date. The student will use the graph state framework to develop and explore new possibilities for quantum networks, and their first proof of principle experimental implentations. This project will encompass topics from computer science, mathematics, theoretical physics and optics.

2019-2021 Publications