The proposed project investigates an approach to solve difficult physics problems, which are too computationally intensive for standard computers, using Xanadu’s near-term quantum computers. The goal of the project is to create a simulation tool that harnesses the exponential increase in efficiency offered by quantum computers to simulate the movement of particles and the subsequent […]

Under the Lab2Market Program, the intern will develop and test a field notes tool called STRATUM to alleviate stresses caused by documentation in the field. The tool development will be guided by the results of three studies: 1) a qualitative investigation of user needs and sources of stress (already underway); 2) a preliminary survey of […]

Manipulation and characterization of ultrafast optical signals are fundamental procedures for a wide range of applications, including telecommunications, biology, quantum information science, spectroscopy, and atomic and molecular physics. In this context, the so-called theory of space-time duality offers a powerful framework for the development of important optical signal processing functionalities. One of its key elements […]

Dans ce projet, nous nous proposons de développer un modèle de simulation qui vise à analyser le flux des patients aux urgences, particulièrement le temps d’attente. Cet outil permettra aux responsables de la coordination du CHUM d’être proactifs dans la gestion des urgences. Il leur servira entre autres à comprendre le comportement du système, identifier […]

At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights […]

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be […]

Terrestrial contaminated sites – such as abandoned oilfields, chemical spill sites, or former industrial zones – are a major environmental problem in Canada and around the world. Environmental Material Science has created new environmental monitoring equipment that generates high-resolution spatially and temporally explicit data on environmental quality. The data must be visualized and then used […]

Pavemetrics, chef de file dans les systèmes de vision numérique pour l’inspection des infrastructures routières, ferroviaires et aéroportuaires, a développé de nombreux capteurs couplés à un logiciel de traitement de données 3D afin de les offrir au monde entier. Parmi les clients de Pavemetrics, on retrouve principalement les intégrateurs de services, les firmes de génie […]

La quantité et la diversité des panneaux de signalisation routière sont en augmentation constante. Parmi les défis posés par cette situation, on retrouve celui de l’inspection. En effet, ces panneaux doivent conserver des propriétés physiques déterminées (comme une réflectivité minimale) afin de satisfaire aux exigences gouvernementales. L’inspection manuelle de chaque panneau étant fastidieuse, des systèmes […]

The requirement for online communication continues to grow exponentially, primarily a result of the increased demand for information sharing bandwidth. This demand is driven by video-over-internet applications used for both entertainment, and conferencing (felt most recently in the need for remote working during the COVID-19 pandemic). Integrated optical components fabricated in silicon are receiving particular […]

La sténose de la valve aortique est la deuxième maladie cardio-vasculaire la plus fréquente et la maladie cardiaque valvulaire la plus fréquente. Sa prévalence au sein de la population ne cesse de croître. Non traitée, cette maladie est mortelle et seule une chirurgie permet d’empêcher sa progression. Il y a un besoin urgent de progrès […]