People

  • 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

    PI

    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.

  • Sacha Cerf

    PhD student

    Sacha’s current research focus is the theoretical foundations of Quantum Machine Learning (QML). After an internship where he studied structural properties of the Fourier spectrum of Variational Quantum Circuits (VQC), he joined the QAT team as a PhD student. He now works on theoretically proving a quantum learning advantage in settings that do not rely on the classical intractability of the optimal function. He also takes a deep interest in Quantum Error Correction. His previous research covered the mathematical runtime analysis of Evolutionary Algorithms, and of algorithms on scale-free random graphs.

  • Ulysse Chabaud

    PI

    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.

  • Sharon David

    PhD student

    Sharon’s current research is on lattice-based quantum error correction and fault tolerance, more specifically researching magic state distillation (MSD) with respect to continuous-variable (CV) codes like the Gottesman-Kitaev-Preskill (GKP) code. She previously worked on modelling noise for a hybrid spin-photon quantum computing approach, and conducted some experimental work involving ion traps. She's dabbled in some astrophysics and cosmology as well. Sharon loves exploring new neighbourhoods in the city and is always on the hunt for cozy bookstores because she loves to read. She also loves to cook and bake, and enjoys painting every now and then.

  • Jack Davis

    Postdoc

    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.

  • Thierry Martinez

    Senior Research Engineer

    Thierry is a research engineer at the SED (Software Development Department) of Inria Paris. His responsibilities include understanding the software engineering needs of the QAT team and other Quantum-related teams within Inria, and facilitating the sharing of good software development practices. He has a background in functional and logic programming, as well as proof theory, and is interested in exploring Quantum computing further.

  • Harold Ollivier

    PI

    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.

  • Rajarsi Pal

    PhD student

    Rajarsi grew up to love studying complex systems using physics but somewhere during his masters he fell in love with quantum computing and switched his pursuit. Currently he's working with Harold to look into topics that lie at the intersection of Measurement-Based Quantum Computing (MBQC) and NISQ-era algorithms and more specifically variational algorithms. While he is typically eager to make theoretically rigorous claims, he is also keen to help design softwares of more pragmatic value. When not trying to prove that an algorithm would indeed terminate you can find him solving math puzzles, or hiking the forests, or simply sitting by the Seine.

  • Giulia Petrarulo

    Project manager

    Giulia is an experienced project manager with a track record in managing diverse projects, fostering international partnerships, and enhancing organizational objectives through effective communication strategies. Currently serving as EU Project Coordinator at INRIA for the VeriQuB project, Giulia previously worked at Unicancer, where she managed international collaborations and EU-funded projects. Her experience also includes roles at the European Society for Paediatric Oncology (SIOPE) and the European Society of Surgical Oncology (ESSO), where she coordinated communications and supported EU advocacy activities. Holding an MA and BA in EU Studies/International Relations, she is fluent in English, French, Spanish, and Italian.

  • Amit Saha

    Postdoc

    Amit's current research focus is on designing efficient quantum circuits with intermediate qudits, quantum design automation, quantum circuit cutting, quantum walks and error analysis of an intermediate qudit-based quantum circuit. Prior to joining Inria, he worked as Consultant and Scientific expert (Advanced technologies) at Eviden (an Atos business), Pune, India. He has received the degree of Ph.D. on quantum computing in Information Technology from University of Calcutta, India. His current research interests include Quantum Computing, Multi-valued Quantum Systems, Quantum Algorithms, Quantum Circuit Synthesis.

  • Hugo Thomas

    PhD student

    Hugo is a Ph.D. student in collaboration with the LIP6 and the startup Quandela, working on quantum algorithms and exploring the ability of photonic quantum computers to outperform classical computers in the context of machine learning. He is interested in both the complexity-theoretic and practical way of reaching the so-called quantum advantage.

  • Varun Upreti

    PhD student

    Having previously worked on quantum verification with the group, Varun is currently exploring the realm of quantum resource theories, particularly for continuous variable systems, and exploring if there is a unifying framework for the different non-Gaussian resources. When he is not thinking about quantum physics, Varun dabbles in philosophy. He is also now an aspiring gym bro :).

  • Zacharie Van Haerstraeten

    Postdoc

    Zacharie's research interests lie at the intersection of quantum information and quantum optics. In particular, his work has been focused on the characterization of quantum uncertainty from the phase-space representation of quantum mechanics. He is broadly interested in Wigner functions and how to use them to identify quantum resources.

QATlumnis

  • Staff:
    • Luce Chiodelli (October 2023 - October 2024)
    • Mathys Rennela (October 2022 - October 2024)
  • Traineeships:
    • Elora Lazaar (June-July 2024)
    • Léa Giraud from Lycée Louis-le-Grand in Paris (June 2024)
    • Ha Nguyen (March - July 2024)
    • Meghashrita Das (May-July 2023)
    • Khaireddine Medhioub from Ecole Polytechnique de Tunisie (March-July 2023)
    • Abdelkrim Menina from Sorbonne Université (March-August 2023)