All-photonic architectures for the generation of Gottesman-Kitaev-Preskill states

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. Gottesman-Kitaev-Preskill (GKP) states [1] are a […]

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La communication stratégique pour mieux faire face aux messages contradictoires liés aux enjeux climatiques et à l’eau

La complexité des changements climatiques pose des défis majeurs aux personnes chargées de les communiquer. Les acteurs de l’eau, au Québec comme au Canada, doivent souvent aborder des réalités qui peuvent sembler contradictoires. Il est désormais fréquent de devoir, dans un court laps de temps, communiquer à la fois sur des excès d’eau (inondations) et […]

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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. […]

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Scaling Medication Safety and Enriching Data Interoperability Across McGill University Health Centre

This project aims to develop machine learning tools that automatically translate and standardize hospital medication data into internationally recognized formats. Today, much of this mapping work is manual, time-consuming, and prone to inconsistencies. The intern will build and evaluate AI models that improve how medication records are matched to standardized drug vocabularies and flagged for […]

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Design of a Scalable Software Platform for Managing Large Energy System Models

This internship project, undertaken by two interns working in parallel, focuses on the continued development of a scalable software platform to support large-scale 4E (energy-electricity-economy-environment) system modelling. The project addresses a critical transition from reliance on semi-manual and spreadsheet-based workflows toward a proprietary, database-driven infrastructure that enables automation, reproducibility, and improved performance. Interns will contribute […]

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Emerging Clean Energy Industry in Newfoundland and Labrador: Identifying and Addressing Policy and Supply Chain Issues

The overall objective of the project is to identify key policy and supply chain issues relating to Newfoundland and Labrador’s emerging clean energy industry including green hydrogen, the electricity grid, biomass and energy storage, and low-carbon fuels. The objective is to characterize these challenges in terms that can be easily understood and to also recommend […]

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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 […]

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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 […]

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Advancing AI Innovation Through Cross-Functional Collaboration (4)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Wildfire workforce planning […]

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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 […]

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