• Sami Abdul Sater

    PhD student

    Sami currently studies protocols for verifying delegated quantum computations. He holds a degree in computer engineering and has a strong background in data engineering, cryptography, quantum algorithms and quantum information. He is looking to build bridges between these fields to enable customers with limited technology to use powerful quantum computers in the cloud with strong security guarantees such as constraining the server to be honest and blind with the computation (no data/algorithm leaked to the server).

  • Francesco Arzani


    Francesco's research focuses on bridging theory and experiments towards the realization of continuous-variable (CV) quantum information processing (QIP) tasks. His current research interests include engineering multi-mode squeezed states, including non-Gaussian operations, universal computation with CV systems, bosonic error correcting codes and fault tolerance.

  • Emilie Blotière


    Emilie's background is quite atypical as she started her career in banking and insurance companies to manage a portfolio of institutional partners. Six years ago, she went back to studying history and digital humanities. After working for four years at CNRS to coordinate an SHS (Social Sciences and Humanities) European project, she recently joined the QAT team as a project manager to sustain Ulysse Chabaud and the Veriqub project. The project manager ensures a smooth and effective assessment of the administrative and financial aspects of the project, the relations with the European Commission and the respect of the commitments made.

  • Ulysse Chabaud


    Ulysse's research interests cover various topics related to quantum information theory, such as quantum computing, quantum cryptography and quantum communication. He investigates the necessary resources for quantum advantages and how they translate to foundational questions, in the context of continuous-variable quantum computational models in particular.

  • Luce Chiodelli


    Luce, with years of experience in large project design and management, has joined the QuantumTech@Inria program. She will assist in strategic planning of QuantumTech@Inria and coordinate administrative, financial, and communication aspects. By closely collaborating with all Inria teams and administrative offices involved, she will facilitate seamless communication and cooperation, ensuring the efficient execution of the program's objectives.

  • Jack Davis


    Jack is currently researching the characterization and applicability of quantum resources within the field of continuous-variable (CV) quantum information. His primary focus centres on the use of phase-space techniques to discern and experimentally identify the essential non-Gaussian resources required to yield a quantum advantage in the context of quantum computation.

  • Maxime Garnier

    Postdoc and Tech lead

    Maxime has been trained as a theoretical condensed-matter physicist and has now taken interest in several fields of Quantum Information Processing among which delegated quantum computation. He particularly focuses on the simulation of various algorithms and protocols to better understand them and help accelerate their near-term implementations.

  • Harold Ollivier


    Harold's research focus is on building tools and methods for designing more robust applications for quantum computers. More specifically, he is active through 3 broad areas: Verification of delegated quantum computing, Noise estimation and error mitigation, Hardware-optimized quantum algorithms. Harold heads the QAT team and the QuantumTech@INRIA program.

  • Mathys Rennela


    Mathys' current focus is on quantum walk-based algorithms, quantum machine learning and quantum programming. He completed a doctoral research program on quantum foundations and quantum programming under the joint supervision of Professor Sam Staton (Oxford University) and Professor Bart Jacobs (Radboud University Nijmegen). Mathys has a broad interest in the foundations of quantum computing, and the design, verification, optimisation and implementation of quantum software.