AI Enablement Summer Internship (4 months) at Good & Well – Sadia Tasnim

Good & Well is a boutique impact investment firm based in Toronto, Canada that invests in and supports inspiring entrepreneurs driving social change. We are seeking the help of a student with relevant data science and/or computer science experience to support us in identifying areas of operations within our organization that could be streamlined, through […]

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Méthode alternative pour l’évolution temporelle en finance quantique

1) La tarification de produits financiers complexes, tels que certaines options exotiques associées aux garanties de fonds distincts, repose sur la résolution d’équations aux dérivées partielles (EDP) de grande dimension, dont la complexité rend les méthodes numériques classiques coûteuses. Récemment, l’algorithme d’évolution temporelle quantique VarQITE [1] a été utilisé pour tarifer une option rétroviseur en […]

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AI-Driven Large Scale Structure Inference from Next-Generation astrophysical datasets in the Multi-messenger Era

This project uses artificial intelligence to better understand the large-scale structure of the Universe. Cosmologists study the Universe using different observational probes, including galaxy surveys and catalogs of gravitational-wave events. Gravitational waves are tiny vibrations of spacetime sourced by powerful events such as two stellar black holes colliding. These objects act as important tracers of […]

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Understanding Dengue Transmission Dynamics with Wolbachia-Mediated Vector Control

This project focuses on understanding dengue transmission and testing a promising mosquito-based intervention, called Wolbachia, to reduce its spread. The aim is to develop a computer model that simulates the life of individual Aedes aegypti mosquitoes and their role in transmitting dengue. This model will include mosquito behaviour, the effects of Wolbachia on mosquito reproduction, […]

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Monotuiles pentagonales et heptagonales

Depuis l’Antiquité, les mathématiciens s’intéressent aux pavages du plan, ces motifs réguliers qui permettent de recouvrir une surface sans trous ni chevauchements, à l’image des carrelages ou des mosaïques. Si les motifs utilisant des triangles, des carrés ou des hexagones sont bien connus, les chercheurs s’attaquent aujourd’hui à des figures plus complexes et moins étudiées […]

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Data-driven Decision Making to Balance Environmental and Economic Impacts of City Growth

The building sector represents Canada’s third-largest source of greenhouse gas emissions and is one of the most difficult sectors to decarbonize. Policymakers must reduce emissions while also addressing Canada’s severe housing affordability crisis. Without effective tools to find solutions that tackle both issues together, there’s a risk that neither may be resolved successfully. This project […]

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Opérateurs linéaires sur les espaces de Hilbert et simulation d’évolutions quantiques discrètes

Ce projet explore de façon numérique et analytique une question mathématique fondamentale : dans quelles conditions un espace de fonctions discrètes, pondéré selon certaines règles, demeure stable lorsqu’on y applique une opération appelée convolution. Cette opération joue un rôle clé dans plusieurs domaines, notamment en physique quantique, où elle permet de modéliser des phénomènes comme […]

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Quantum error correcting stabilizer codes for photonic quantum computers

We appear to be at the beginning of a revolution in the development of new technologies based on quantum science. Over the past several years, Canada has become a world leader in quantum information research and in the development of these emerging quantum technologies. Quantum computers that are based on optical architectures include some of […]

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Measurement-Reduction Strategies for the 2D-pUCC Ansatz-Based Variational Quantum Eigensolver

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 […]

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Spatial analysis of women’s football

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 […]

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