The proposed project aims to develop a Quantum Convolutional Neural Network (QCNN)-based approach to detect vulnerabilities in smart contracts, which are critical components of blockchain technology. By leveraging quantum machine learning techniques, the project seeks to enhance the accuracy and efficiency of identifying security threats in smart contracts, such as reentrancy attacks and integer overflows. […]

This Mitacs Globalink research project is aimed at advancing cryogenic quantum technologies through the development of a Terahertz (THz) spectroscopy test setup compatible with Adiabatic Demagnetization Refrigerators (ADR). The project will leverage the novel capabilities of THz spectroscopy to probe molecular dopants trapped in cryocrystals, enhancing the understanding of quantum materials and their low-energy excitations. […]

La planification des horaires médicaux est un défi complexe pour les établissements de santé, confrontés à l’incertitude des arrivées de patients, à la variabilité des temps de traitement et à la nécessité d’optimiser l’utilisation des ressources. Les méthodes de planification classiques atteignent leurs limites face à cette complexité, ce qui entraîne des temps d’attente prolongés, […]

Bond dissociation enthalpy (BDE) is a fundamental chemical property for predicting molecular stability and reactivity. BDEs are crucial for understanding antioxidant efficiency, enzyme catalysis, surface functionalization chemistry, and drug discovery. This project will focus on predicting BDEs for C-O and C-C bond types in lignin-derived molecules, essential for efficient lignin decomposition processes in biofuel production […]

Two-dimensional materials (2DMs), such as graphene, have revolutionized the field of nanotechnology due to their exceptional electronic, optical, and mechanical properties. However, the introduction of controlled defects into these materials offers an exciting avenue for tailoring their functionalities for next-generation technologies. This project focuses on studying the effects of defects, such as grain boundaries and […]

Dans le cadre d’un projet de recherche, des micro-commutateurs MEMS ont été fabriqués sur une ligne de prototypage industrielle 200 mm. Ces dispositifs millimétriques sont compacts et consomment très peu d’énergie, ce qui les rend particulièrement intéressants pour des environnements cryogéniques nécessitant une dissipation de chaleur minimale. Ce projet vise à évaluer les performance et […]

The transformation of light in current, i.e. photodetection, has been exploited in several technologies. From the detectors used in materials characterization to solar cells, the use of performant materials that can efficiently produce photocurrents is inspired by the normal functioning of the eyes. Within them, a photon of light is converted into a current, traveling […]

Chemical property predictions using quantum machine learning (QML) lie at the intersection of machine learning, quantum computing, and computational chemistry. QML models often use parameterized quantum circuits (PQCs) that abstract gate-level quantum operations but offer limited flexibility in adjustable parameters. To enhance QML model performance and generalizability, incorporating pulse-level operations, which lie below gate-level in […]

The project focuses on advancing the production of high-quality, cost-effective two-dimensional (2D) nanomaterials, such as graphene, hexagonal boron nitride (h-BN), and molybdenum disulfide (MoS2), by optimizing the Compressible Flow Exfoliation (CFE) process. This innovative technique has the potential to replace costly fabrication techniques, significantly reducing production costs without compromising material quality. Through this collaboration, the […]

The project focuses on enhancing optical imaging using quantum sensing and optical neural networks (ONNs). Prof. Lvovsky’s research group uses a method called Spatial Demultiplexing (SpaDe), which breaks light into Hermite-Gaussian (HG) modes. By measuring these modes, we can acheive better image resolution than traditional methods allow. The challenge is that experimental setups can have […]

Global transition to a digital society has billions using microelectronic technology in their day-to-day activities. The increasing demand for miniaturization, speed, and reliability must be satisfied with a compact combination of multiple microchips. The technical constraints are quickly surpassing the capabilities of conventional circuit boards. Thus, silicon interposers, a high-cost, high-performance packaging solution for integrating […]

This project focuses on synthesizing a new class of conjugated polymers incorporating stable, quinoidal units that enhance electronic properties, targeting applications in organic field-effect transistors (OFETs), organic solar cells, and organic electrochemical transistors (OECTs). By designing polymers that feature reduced bond-length alternation, these materials exhibit lower band gaps and high charge carrier mobilities, essential for […]