There are many advantages in using light to encode quantum information. Due to a relatively small coupling with their environment, decoherence is less severe on photons than other systems, and high precision measure- ment and many techniques for the manipulation of non classical light are available in the lab.
Quantum Information (QI) was mostly formulated in terms of qubits, finite dimensional quantum systems analog to the classical bits. In Quantum Optics (QO), this corresponds to the single-photon (or few photons) regime. Many protocols have also been translated to infite dimensional systems, corresponding to the continous- variable regime in QO. This is the case of the measurement-based paradigm for quantum computation, in which information is processed via local measurements on an entangled resource state (cluster state), which is pre- pared starting from a multimode squeezed state. The basic measurements required in the optical setting are homodyne measurements. Our group has developed a setup in which an optical parametric oscillator syn- chronously pumped by a pulsed laser (SPOPO) produces a multimode squeezed state which is then measured by multimode homodyne detection.
The main goal of my research project is to explore the potential of this setup for quantum information process- ing. On the one hand I focus on the use of simple non-Gaussian operations, such as photon subtraction from squeezed states, for quantum computation and quantum information processing in general. This is motivated by recent proposals to introduce mode-selective photon addition/subtraction to the SPOPO setup, but the re- sults may be of interest in other setups as well, since these are among the simplest non-Gaussian operations to do in the lab. On the other hand I study how the properties of the output of the SPOPO are affected by the spectral/temporal shape of the pulses in the pump beam and how pulse-shaping can be used to engineer the squeezing and the correlations in the output beam. The ultimate goal is to combine all this to realize interest- ing QI protocols with minimal or no modifications to the existing experimental setup or to propose sensible modifications.
modelisation de systemes dynamiques par reseaux de neurones
Bug finding in systems code
Conception et Maîtrise de stratégies opportunistes dans les réseaux basés sur le Blockchain
Modélisation de données spatio temporelles
Random sampling and quantitative analysis for families of directed acyclic graphs
Co-encadrement thèse Aniss Zebiri
Future interne research
Invité avec clé pour encadrement des thésards (Falq et Quezada) jusqu'à décembre 2020
En collaboration avec Eleni DIamanti
elle étudie l'impact des systèmes de recommandation et des algorithmes d'aide à la décision dans le contexte des média en ligne. Elle s'intéresse en particulier à la mesure des biais induits par de tels algorithmes.
Random sampling and quantitative analysis for families of directed acyclic graphs
Visiting Marc Shapiro and Delys Group
Travail avec C. Durr, C. Doerr, F. Pascual, E. Bampis, B. Escoffier, Viet Hung Nguyen
travailler avec Christoph Dürr, Carola Doerr, Fanny Pascual, Evripidis Bampis, Bruno Escoffier et Nguyen Viet Hung
Collaboration dans le domaine du HPC et de l'arithmétique des ordinateurs
Poursuivre mes recherches avec le Professeur Darrell D. E. Long et me familiariser avec les récents travaux de l’équipe du Dr. Marc Shapiro dans le domaine de la « just right consistency ».
Réseaux et théorie des graphes
Exploitation des réseaux de Petri stochastique généralisé (GSPN) pour la modélisation et la vérification des systèmes reconfigurables
son domaine de recherche concerne la science des réseaux, la science des données et la fouille de données. Elle porte une attention aux phénomène sociaux issus d'activités en lignes et plus particulièrement aux phénomènes de discrimination.
Version effective du Théorème de stabilité de Suslin pour une application au traitement du signal.
