GPS works poorly in dense city environments because tall buildings block satellite signals. This project will test whether a new type of ultra-sensitive sensor—a quantum magnetometer that measures tiny changes in the Earth’s magnetic field—can help drones and future flying taxis (Urban Air Mobility) figure out where they are when GPS fails. The research team […]

This project is based on a collaboration between the University of Ottawa and Wroclaw University of Science and Technology, aims to revolutionize how we control light for the next generation of quantum computers. Currently, managing light particles requires bulky and complex networks of mirrors and lenses that often leak information and are difficult to scale […]

Quantum computers are expected to help solve important problems that are currently out of reach for classical computers, including challenges in chemistry, materials science, and optimization. However, today’s quantum devices are still limited in size and cannot run very large or complex programs on a single processor. This project aims to address this limitation by […]

This project develops a practical analytics framework to examine how early-stage quantum startups present their business models, target markets, and commercialization plans. Using structured data collection and interpretable machine learning methods, the project will assess whether startups’ technical positioning aligns with clear and realistic market pathways. The result will be a transparent Commercialization Alignment Index […]

This project will develop a computational framework that uses machine learning to automatically discover mathematical formulas for describing the electron arrangements of molecules. The electronic structure problem is of great interest in quantum chemistry, where cost-effective methods that capture electron correlation are essential for industrial and technological applications. Current machine learning methods often act as […]

This project aims to improve how quantum light sources—specifically semiconductor quantum dots—are connected to optical fibers using a cutting-edge 3D printing technique called photonic wire bonding. Quantum dots can emit single photons on demand, which is essential for secure communication and future quantum computers, but getting those photons efficiently into standard optical fibers has been […]

This research project aims to develop more practical and efficient methods to verify that quantum devices are working correctly, especially when we cannot fully trust the internal details of the hardware. By relaxing strong assumptions about the dimension of tested quantum devices and deriving clear robustness bounds, the project will help build scalable and robust […]

The construction industry is one of the largest contributors to global carbon emissions, making its decarbonization essential to achieving the United Nations Sustainable Development Goals (UNSDG). This project aims to develop a sustainable and durable fiber-reinforced cementitious (FRC) composite by synergistic utilization of recycled fibers and carbon-based quantum dots (CQDs). The proposed study will utilize […]

Ce projet explore de façon numérique et analytique une question mathématique fondamentale : dans quelles conditions un espace de fonctions discrètes, pondéré selon certaines règles, demeure stable lorsqu’on y applique une opération appelée convolution. Cette opération joue un rôle clé dans plusieurs domaines, notamment en physique quantique, où elle permet de modéliser des phénomènes comme […]

The project “Advanced numerical modelling tools for entanglement harvesting with superconducting devices” is dedicated to developing tools for a foundational experimental test of quantum entanglement within the framework of quantum field theory. While this theory serves as a cornerstone of modern physics, significant questions regarding the description of quantum measurements and entanglement remain. This research […]

During his doctoral work, Louis Jourdan developed the 2D-pUCC (2D-block pair unitary coupled-cluster) ansatz, a novel quantum algorithmic framework that adapts and generalizes the classical Antisymmetric Product of 2D-block Geminals (AP2D-BG) method for quantum computing architectures. The overarching objective of the project is to reduce the measurement cost in variational quantum algorithms for molecular electronic-structure […]

This project explores how post-quantum cryptography (PQC) algorithms can be efficiently implemented on hardware platforms to prepare for future quantum-safe security needs. As new NIST-standardized PQC algorithms replace older encryption methods that are vulnerable to quantum attacks, designers face challenges due to higher computation and memory demands. The project will study a representative PQC algorithm […]