This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

Dans les conditions de basses températures et de faibles densités qui caractérisent le milieu interstellaire, il peut être démontré, par des arguments de symétrie, que l’interconversion des isomères de spins nucléaires (ISN) de la molécule d’hydrogène, o-H2 ? p-H2, est interdite. Des calculs théoriques ont cependant estimé que, dans ces conditions, les temps de conversion […]

This project aims to integrate nanostructured thin films directly onto luminescent materials to obtain a miniature single-mode laser source emitting over a narrow frequency band at higher power than other existing miniature laser device technologies can achieve. The ability to operate in single mode relies on the concepts of exceptional points in polarization space and […]

Physics-Informed Neural Networks (PINNs) have emerged as a powerful tool for solving PDEs, fractional equations, and eigenvalue problems, making them particularly suited for quantum mechanics, where traditional numerical methods often face computational bottlenecks. The aim of this internship is to analyse the applicability of PINNs to a broad range of quantum simulation tasks such as […]

« Optimisation du couplage magnétomécanique pour les technologies quantiques ». Dans le groupe, nous travaillons sur l’optomécanique en régime microonde en utilisant une interaction magnétomécanique. Cette interaction permet d’obtenir un couplage record entre un résonateur microonde et un système micro- mécanique. Dans le contexte de ce projet, vous aurez l’opportunité d’explorer différentes approches, telle que […]

This research project explores the use of quantum machine learning (QML) to optimize aerial reconfigurable intelligent surface (RIS)-assisted networks that integrate sensing and communication (ISAC). The goal is to enhance the sustainability and efficiency of these advanced wireless systems by intelligently minimizing electromagnetic field (EMF) exposure. By leveraging quantum-enhanced algorithms, the project aims to design […]

This project proposes a scalable quantum-enhanced generative model for drug discovery, targeting the design of KRAS inhibitors through the integration of Neural Quantum States (NQS), Quantum Circuit Born Machines (QCBMs), and CUDA Quantum acceleration. By replacing traditional quantum circuits with adaptive NQS representations and extending QCBM capacity to 32 qubits, the framework enables more expressive […]

This project aims to improve computational methods in quantum chemistry by developing better ways to calculate molecular properties. The research focuses on enhancing existing mathematical tools (called functionals) to make them more accurate, especially for molecular fragmentation processes. The project will create user-friendly software that will be freely available to scientists worldwide. For the participating […]

Quantum technologies are today at the forefront of scientific research, as they are expected to have a very strong impact in numerous fields. The primary objective in both research groups, the QPSA lab and the NPQO lab is to develop the physical building blocks necessary for quantum communication. Many different quantum systems are currently being […]

La concrétisation des ordinateurs quantiques introduit de nouveaux vecteurs d’attaque tels que les virus quantiques, les cyberattaques quantiques. Les outils actuels de détection des virus informatiques ou des menaces cyber n’ont pas été conçus pour les ordinateurs quantiques, les exposant ainsi à des nouvelles vulnérabilités qui peuvent être exploitées par les acteurs malicieux. Les fournisseurs […]

Emerging contaminants (ECs) have become a significant environmental concern due to their widespread presence and risks to health and ecosystems. Meanwhile, agricultural waste is also increasing, providing a valuable source for high-value materials. Traditional detection methods are costly, slow, and require specialized equipment and time-consuming laboratory analyses. Electrochemical sensors offer a low-cost, rapid, and sensitive […]

Le projet vise le développement du flacon digital, c’est-à-dire une approche de simulation numérique qui permet d’étudier des réactions chimiques et de prédire les produits qui seront observés en laboratoire. Le flacon digital fournit une vision moléculaire des différentes réactions chimiques possibles, ce qui est autrement impossible à obtenir directement. Une première application de celui-ci […]