Hydrogen safety controller model with a deterministic and fault-tolerant architecture for monitoring hydrogen concentration in real-time

The transport sector remains a major contributor to greenhouse gas (GHG) emissions1. This impact is even greater in the case of perishable goods, where the vehicle’s propulsion engine or an auxillary unit must also power the refrigeration systems. As a result, engines run continuously, also while stationary, leading to increased fuel consumption and emissions2. Fully […]

Read More
Prévisions énergétiques au moyen de l’Intelligence artificielle en présence de données massives

L’analyse prévisionnelle des surplus ou des déficits énergétiques pour le parc de production d’Hydro-Québec est primordiale pour l’entreprise. Elle définit les stratégies des stocks cibles (niveau des réservoirs) sur le moyen long terme et les contrats d’échanges avec les réseaux voisins. En 2025, deux approches de modélisation sont considérées opérationnellement pour faire la prévision énergétique. […]

Read More
Opérationnaliser l’agroécologie dans les FUSA : besoins et pratiques des fiduciaires au Québec

Les terres agricoles au Québec font face à une pression croissante de la spéculation foncière, menaçant leur accessibilité pour les agriculteurs et agricultrices qui souhaitent produire des aliments sains pour leurs communautés. Les fiducies d’utilité sociale agroécologiques (FUSA) sont un modèle innovant qui permet de protéger des terres agricoles à perpétuité en garantissant qu’elles restent […]

Read More
Advanced Optimizations for Quantum Compilation

Xanadu’s mission is to build quantum computers that are useful and available to people everywhere. Founded in 2009, with headquarters in Toronto, Canada, the company has grown to 250+ employees, many of them scientists, researchers and engineers, working across all disciplines (hardware, software, applications, algorithms) to achieve this goal. This project is within Xanadu’s software […]

Read More
Pragmatic Investigation of Artificial Intelligence for Symptomatic Venous Thromboembolism Prevention: PRISM-VTE Study

Venous thromboembolism (VTE), which includes deep vein thrombosis and pulmonary embolism, is a common and potentially life-threatening condition affecting 1 in 10 people during their lifetime. Many cases occur during or shortly after hospitalization. Although hospitals aim to prevent these events, accurately identifying VTE using routine hospital data remains challenging, as diagnostic codes alone are […]

Read More
Pulse-based quantum evolution kernel learning for molecular property prediction using graph-based embeddings

Accurate prediction of fundamental chemical properties such as bond dissociation energies and reaction barrier heights remains a central challenge in chemistry and materials science. Classical machine learning methods have achieved notable success, yet they often face scalability limitations and difficulty capturing complex, high-order correlations in molecular graphs. Quantum Machine Learning (QML) offers a fundamentally different […]

Read More
Assessing Railway Maintenance Intervals and Slow Order Management in a Low Traffic Climate-Sensitive Freight Railway Corridor

The impacts of permafrost thaw on northern railways can lead to temporary speed restrictions (“slow orders”) imposed to mitigate operational risk until permanent remediation works are completed. These slow orders cause unpredictability in nominal train operating speeds and ultimately affect the reliability of long/heavy trains operating across successive slow-ordered segments. Little is known about how […]

Read More
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 […]

Read More
Integrating Users’ Perspectives in Paratransit Planning

Paratransit refers to a specialized, door-to-door, shared-ride public transportation service designed for those who experience functional barriers to conventional fixed-route transit due to disability. Paratransit plays an important role in fostering social and economic inclusion of people with disabilities, which includes a growing cohort of older adults. Indeed, as Canada’s population ages, demand for paratransit […]

Read More
Développement de méthodes d’intelligence artificielle destinées à la surveillance continue du SF6

Le projet porte sur le développement de méthodes d’intelligence artificielle (IA) destinées à améliorer la surveillance continue du SF6 et des mélanges SF6/CF4 dans les appareillages haute tension exploités par Hydro-Québec, notamment les disjoncteurs de 145 à 315 kV et les postes GIS. Le SF6, bien que disposant d’excellentes propriétés diélectriques et d’extinction d’arc, est […]

Read More
From Photonic Integrated Chip to Quantum Network: Performance Validation of Integrated Entangled Photon Sources

This project addresses the characterization and validation of an integrated quantum photonic source emitting multiple channels of entangled photon pairs in the telecommunications C-band. The source is based on a silicon nitride microcavity generating a quantum frequency comb via spontaneous four-wave mixing [1-2]. A key research challenge is to ensure high spectral purity, long photon […]

Read More