During his doctoral work, Louis Jourdan developed the 2D-pUCC (2D-block pair unitary coupled-cluster) ansatz, a novel quantum algorithmic framework that adapts and generalizes the classical Antisymmetric Product of 2D-block Geminals (AP2D-BG) method for quantum computing architectures. The overarching objective of the project is to reduce the measurement cost in variational quantum algorithms for molecular electronic-structure […]

This project aims to study how football players move and interact on the field by using advanced data analysis. We will combine local GPS data from Uruguayan women’s football with international event data (such as World Cups) to better understand team tactics, physical performance, and coordination between players. By applying tools from statistics and data […]

Simulation studies are widely used in pharmaceutical research to evaluate operating characteristics of statistical methods proposed for regulatory analyses. Central to such studies is the ability to compare against a known “truth” implied by assumed the data-generating mechanism. In practice, however, this advantage is often limited than assumed, as the target is not a simple […]

ESI’s current focus is product research and development (R&D), and commercialization activities. The R&D pipeline furthers the technology (hardware, software), systems, and collects/analyzes the data required to ensure device operations and regulatory compliance. Device R&D will refine and miniaturize the metasurface, enhance antennae, and complete software integration (signal and image processing, hardware integration, AI-driven decision-making). […]

What’s the best way to distribute HIV treatment equitably? In developing countries, the major challenges are a lack of resources and infrastructure. In large developed countries like Australia and Canada, a major challenge is the geography and the clustering of populations. However, everyone deserves to have access to treatment, no matter where they live. This […]

Le calcul quantique, ou q-calcul, constitue une approche moderne de l’analyse mathématique dans laquelle les opérateurs différentiels et intégrals classiques sont généralisés par des opérateurs dépendant d’un paramètre q. Ce cadre établit un lien fécond entre les mathématiques et la physique (Yamano, 2002) et possède de nombreuses applications dans les probabilités, la théorie des nombres, […]

The aim of this project is to study a data-preserving federated learning approach by designing a Riemannian composite optimization model and developing a Riemannian Doulgas-Rachford algorithm for solving the model. In addition to novel contributions to the filed of optimization and machine learning, our proposed model and algorithm are applied in data-preserving healthcare operations where […]

Cone photoreceptors are specialized neurons of the vertebrate retina that absorb light to begin daylight vision. Two major morphological types exist: single cones, which are circular in cross section, and double cones, which consist of two conjoint cells with elliptical cross section. Cones can be distributed in precise repeat patterns such as he hexagonal lattice […]

In North America, nearly half of adults experience chronically elevated blood pressure (BP), posing heightened risks of cardiovascular disease and kidney failure. Unfortunately, only half of those with elevated BP, or hypertension, are cognizant of their condition. The overarching goal of this project is to identify ways to monitor blood pressure with low cost, non-invasive […]

USP currently works with storage facilities in a manner akin to a broker network, relying on numerous third-party locations for freight-in and warehousing. USP is considering a strategic revision of its supply chain dynamics, with the intention of optimizing their current supply network in an effort to become more sustainable and cost effective. USP is […]

This 12-week research internship at the University of Ottawa hosts an MSc student from ENS Paris-Saclay, advancing research in mathematical aspects of quantum information. The project studies how algebraic structure and symmetry can simplify and certify quantum behaviours in non-local games, a core tool for device-independent cryptography. By translating game rules into algebraic objects and […]