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.

  • 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.

  • Luce Chiodelli

    Manager

    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

    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.

  • Mathys Rennela

    Postdoc

    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.

  • 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.

  • 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.