Real-time dispatching of rebalancing tasks for a bike sharing network

Bike rebalancing involves the redistribution of bicycles among stations to mitigate potential system imbalances, addressing shortages or surpluses of bikes at individual stations. This task is done using trucks designed for moving bikes. The aim is to optimize the routing plan for these bike-moving trucks, deciding which stations to visit and the order to visit […]

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Estimating Optimal Treatment Regimes from Electronic Health Records using Natural Language Processing for Unmeasured Confounding

n precision medicine, optimal dynamic treatment regimes (DTR) are a sequence of decision rules that individualize medical treatments. DTR estimation methods use observational data, such as electronic health records (EHR), which may lack variables that capture doctors’ rationale behind treatment assignment. However, while such variables, also referred as confounders, may not be directly recorded in […]

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Quantum Information metrics for Gaussian states

Quantum information metrics including fidelity, quantum divergences, and the trace norm provide the mathematical foundation for studying and understanding quantum states and processes. As such, quantum information metrics play a crucial role in quantum computing, simulation of quantum systems, and quantum machine learning (including quantum clustering, generative models, and machine learning of, and by, quantum […]

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Advancing the Cryptanalysis of the HPPK-THR Public Key Cryptosystem

The Homomorphic Polynomial Public Key over Two Hidden Rings (HPPK-THR) is a new method of encryption developed by Quantropi to secure communications against advances in quantum computing. While highly efficient and comparing excellently against rival encryption schemes HPPK-THR was only recently developed in 2022. It thus still needs thorough investigation to show its strong security […]

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Détection des Anomalies des Mesures Météorologiques par Apprentissage Automatique

Le but du projet proposé consiste à développer des méthodes de détection des anomalies des mesures de températures et de précipitations enregistrées de façon automatique par les réseaux des membres de Solutions Mesonet. Les méthodes de détection qui seront proposées seront basées sur l’apprentissage automatique et plus particulièrement sur des modèlesstatistique spatio-temporels. Ces modèles permettront […]

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Mathematical modeling of vertebrate retinal cone photoreceptor patterns

Cone photoreceptors are specialized cells in the retinas of vertebrates that absorb light to permit daylight vision. Two major morphological types exist: single cones, which are circular in cross section, and double cones, which consist of two apposed cones with elliptical cross section. In many vertebrates, cones are organized into repeating, lattice-like mosaics. The two […]

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Améliorer et faciliter le processus de création d’horaires des apprenants en GMFU

La création d’horaires des médecins résidents à la Clinique Maizerets – GMF universitaire (GMFU) est une tâche lourde, fastidieuse, complexe, récurrente et nécessaire. Le processus actuel repose sur une confection manuelle par quelques rares humains dont l’intelligence et le temps pourraient être utilisés à bien meilleur escient en soutien aux apprenants. Les règles et contraintes […]

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Quantum Error Correction 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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Estimation des précipitations maximales probables à partir de précipitations observées et simulées par un modèle de climat

Les ingénieurs utilisent les précipitations maximales probables (PMP) pour concevoir des infrastructures résistantes aux aléas hydrométéorologiques. La PMP est définie par l’Organisation Mondiale Météorologique (OMM) comme la quantité maximale d’eau pouvant s’accumuler en une période donnée dans une région, indépendamment des tendances climatiques à long terme. Une mauvaise estimation de la PMP peut entraîner des […]

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Impact of early vaccination during influenza outbreaks

Vaccination is an important preventive measure against influenza infection during both seasonal epidemics and pandemic outbreaks. This research aims to understand the effect of early vaccination during influenza outbreaks. The objectives are to measure the effectiveness of early vaccination in terms of reducing disease burden (e.g., infection, hospitalization). We apply an important methodology, namely mathematical […]

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Performance issues for embedded and random problems in adiabatic quantum optimization

Current and near-future D-Wave processors implement optimization using quantum effects on a fixed processor layout. This layout can be modeled as a graph with certain constraints, and the optimization is applied to a specific problem: fixed-topology Ising spin optimization. It is therefore important to study how best to use this hardware to solve combinatorial optimization […]

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