Benchmarking fundamental components of quantum machine learning on full-stack photonic quantum computers

Architectures for quantum computing can only scale effectively with suitable benchmarking techniques. Benchmarking is essential for evaluating the performance of quantum computers, including their algorithms and applications. This principle extends to quantum machine learning techniques, where benchmarking basic quantum machine learning methods on full-stack photonic NISQ devices is crucial. A key challenge involves adapting quantum […]

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Projet de recherche – Occupation temporaire d’espaces urbains vides à Montréal. Augmentation des campements urbains et de l’urbanisme temporaire en situation de crise du logement abordable.

Alors que la crise du logement atteint des niveaux critiques à Montréal, la gestion des espaces vacants soulève d’importants enjeux sociaux et urbains. Récemment, divers types d’occupations temporaires émergent : certaines, portées par des institutions ou des initiatives citoyennes, visent à revitaliser l’espace public à travers des projets culturels, sociaux ou économiques, tandis que d’autres, […]

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The Diagnostic Potential of Co-rotating Interaction Regions in Dense Hot-Star Winds

Wolf-Rayet (WR) stars exhibit strong, high-velocity winds with small-scale stochastic clumps and large-scale structures like Co-rotating Interaction Regions (CIRs). CIRs are spiral-shaped density enhancements, which propagate through the wind and induce variability in spectropolarimetric signals. WR6 (EZ CMa, WN4b) is a well-studied target with a stable 3.76-day periodicity in its wind variations. Recent observations, including […]

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Aerial eco-phenotyping: Characterization of tree fitness in response to water use

The main objective of this internship is the acquisition of field data in Australia, using drones equipped with RGB and thermal sensors to map and monitor vegetation in mine sites undergoing restoration. These data will be used to feed an AI model to identify plant species and assess their performance and resilience to environmental stresses. […]

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Using environmental nucleic acids to monitor fish diversity in the main tributaries of the St Lawrence River

This project investigates how human pressure affects fish communities in the St. Lawrence River tributaries through a collaboration between the Comité Zone d’Intervention Prioritaire du Haut St-Laurent (ZIP) and PhD student Simone Miklosi. Together, ZIP and Simone developed research questions, selected sampling sites, and identified key environmental variables to assess. To support the collaboration a […]

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L2M QC Spring 2025 | Tools for the automation of auditing of smart contracts for blockchain applications

The increasing adoption of blockchain technology, particularly in decentralized finance (DeFi), highlights the critical need for automated and efficient auditing tools for smart contracts and transaction monitoring. Traditional manual auditing methods are slow, labor-intensive, and insufficient to manage the growing complexity of smart contracts. By integrating AI-based techniques, this project aims to develop automated tools […]

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Automated optimization of robotic tasks and transitions using graph-based approaches

In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This […]

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Caractérisation de l’état de santé de Homarus americanus dans les conditions environnementales de Gros-Cacouna

Le projet vise à explorer la viabilité de la conservation de homards en mer. Le projet aurait lieu dans les installations de la Première Nation Wolastoqiyik Wahsipekuk au quai de Gros-Cacouna dans le territoire ancestral Wolastoqey. Le port de Gros-Cacouna est à la limite de l’habitat du homard. L’environnement, et plus précisément la qualité de […]

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L2M_Launch_NanopHast_BSI_Project_Proposal

NanopHast is developing cutting-edge solid-state pH sensors designed to replace traditional glass pH electrodes. Our sensors offers miniaturized pH measurement, opening up novel possibilities in drug discovery and development. NanopHast has longer shelf life, lower manufacturing costs and a maintenance free design for users. Our goal is to redefine pH measurement standards and help drive […]

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Mise au point d’un nouveau procédé de fabrication de laser

Les travaux du stage seront effectués à l’Institut interdisciplinaire d’innovation technologique de l’Université de Sherbrooke au sein du groupe de recherche de la professeure Gwenaëlle Hamon qui se spécialise sur les procédés de micro-fabrication et caractérisation des dispositifs optoélectroniques tels que les panneaux solaires, phototransducteurs, lasers, etc. Le stage proposé vise la mise au point […]

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Confection des horaires des pilotes du St-Laurent central

Le projet consiste à développer une méthodologie novatrice, de type heuristique, de construction d’horaires annuels des pilotes de la Corporation des Pilotes du St-Laurent central. L’algorithme de construction d’horaires doit tenir compte de plusieurs contraintes tant au sein de la Corporation des Pilotes du Saint-Laurent central que celles imposées par l’Administration de Pilotage des Laurentides […]

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