Emerging contaminants (ECs) have become a significant environmental concern due to their widespread presence and risks to health and ecosystems. Meanwhile, agricultural waste is also increasing, providing a valuable source for high-value materials. Traditional detection methods are costly, slow, and require specialized equipment and time-consuming laboratory analyses. Electrochemical sensors offer a low-cost, rapid, and sensitive […]

Le projet vise le développement du flacon digital, c’est-à-dire une approche de simulation numérique qui permet d’étudier des réactions chimiques et de prédire les produits qui seront observés en laboratoire. Le flacon digital fournit une vision moléculaire des différentes réactions chimiques possibles, ce qui est autrement impossible à obtenir directement. Une première application de celui-ci […]

Trapped ultracold atoms are one of the primary platforms enabling the development of quantum computation and simulation. Continued scaling towards large, robust quantum mechanical systems relies on our ability to exert increasing levels of control over these atomic systems. The team working on the Rubidium-87 experiment at Collège de France have demonstrated unprecedented precision manipulation […]

This project brings together ÉTS Montréal and the American University of Beirut to design smarter ways for satellites and ground stations to share network resources so that next generation of quantum secure communications can run in a optimized way. Using quantum computer simulations, the intern will test new matching and learning algorithms that decide, in […]

For a long time, scientists have been trying to unify the theory of gravitation with quantum physics. Quantized gravity is necessary to correctly describe phenomena where huge masses combine with tiny dimensions such as at the big bang or in black holes. The latter can be observed and thus can serve as an ideal testbed […]

This project explores how quantum magnetometers—highly sensitive sensors that detect variations in the Earth’s magnetic field—can enhance positioning systems in urban environments where GPS signals are weak or obstructed. The research involves collecting magnetic field data across selected city areas to create detailed magnetic field maps. These maps will help determine how stable and reliable […]

This research investigates whether tensor networks can serve as interpretable surrogates for graph neural networks (GNNs). It explores whether tensor networks can approximate the functional behavior of GNNs while offering a more structured and interpretable internal representation. The project aims to quantify the contribution of nodes, edges, and features to predictions through this surrogate representation, […]

This project will develop novel circuit metrics to predict model performance under realistic noise conditions, offering a practical approach to enhancing QML trainability. The research will investigate optimal parameter resilience across different circuit depths, qubit counts, and problem types, while comparing overparameterized and underparameterized regimes. Additionally, circuit metrics will be developed to predict model performance […]

This research project pioneers the development of novel molybdenum disulfide (MoS2)/copper hybrid materials through electrochemical intercalation and exfoliation techniques. By transforming readily available powdered molybdenite—a byproduct of Canadian mining operations—into atomically thin layers with enhanced properties, the work creates a sustainable pathway for producing high-performance two-dimensional materials without organic additives that typically compromise conductivity. The […]

The objective of the proposal is to enable high-reliability free-space quantum communication in turbulence environments. Free-space optical and quantum communications face a critical hurdle of atmospheric turbulence induced distortions in propagating optical beams. This degrades signal purity in quantum key distribution (QKD) and long-distance optical transmission. Our vision for this project is to establish a […]

This project will explore the market potential of a new technology that uses advanced artificial intelligence, powered by both classical and quantum methods, to help companies discover new materials faster and more efficiently. The intern will work closely with mentors and industry experts to identify which industries can benefit the most from this innovation and […]

The surge in data driven by economic expansion has increased the demand for fast, reliable internet. However, existing technologies struggle to keep up, causing video buffering, game lag, and slow file transfers. At the same time, rising cyber threats make data security a top concern, with high-profile breaches compromising millions of users and causing financial […]