Grants and Contributions

The measurement of analyte concentration in aqueous media is typically performed by analytical laboratory methods, which are slow and costly. Applications such as indoor farming, including hydroponics, require a solution that can provide nutrient analyte measurements in real-time, on-site and in a cost-effective manner. Quantum materials, such as graphene and carbon nanotubes (CNTs) where the material is surface, combine quantum transport properties with sensitivity to surface chemistry ideally suited to sensing applications. Consequently, graphene and CNT sensors have enabled many improvements in sensor response. The Project is aimed at developing new concepts in graphene field effect transistor (FET) based sensors to simultaneously achieve the sensitivity, selectivity and stability required for applications such as controlled environment agriculture. This work leverages the expertise, experience and infrastructure of the applicants at McGill University, Université de Montréal, Cégep de SaintJérôme, and the NRC.

The Project investigates techniques for working with heterogeneity that is likely to be present in early fault-tolerant quantum computers. In this context, heterogeneity refers to interactions between different types of computational resources. The Project focuses on protocols, architectures, and compilation techniques that operate between the error-correction and application layers of the fault-tolerant quantum computing stack. The research will benchmark existing approaches, develop new protocols for implementing key quantum computational primitives, and establish fundamental performance bounds for heterogeneous fault-tolerant architectures. These efforts will address challenges arising from limited connectivity, interactions between logical and physical qubits, classical coprocessing, and architectures that assign specialized roles to different parts of a device. By combining theoretical analysis with practical benchmarking, the project aims to provide quantitative guidance valuable to both quantum hardware providers and quantum algorithm developers. In parallel, the Project will train highly qualified personnel with expertise relevant to Canada’s quantum computing ecosystem.

The Project explores how quantum computing can improve the analysis and safe operation of complex systems that evolve over time, such as robots, energy networks, and physical or biological processes. Classical computing methods often struggle to predict long-term behaviour in large systems or to provide reliable guarantees of safety and stability. The Project will develop quantum-based techniques to study both linear and nonlinear systems, determine their long-term behaviour, and identify safe operating conditions. The goal is not only to accelerate computation but also to create rigorous methods to certify stability and safety over long horizons. The Project focuses on three themes: quantum techniques for linear models, quantum approaches for nonlinear systems, and quantum methods for verifying safety and stability. Expected outcomes include prototype algorithms, open-source tools, research publications, and the training of highly qualified personnel, strengthening Canada’s leadership in quantum technologies and advanced system analysis.

Expansion of PolarGrid'sintelligent auto-routing orchestration software layer to include the ability to interface with Low Earth Orbit (LEO) satellite constellation connectivity providers and provide output to a user in a different location than the input source.

This project will assess and define the security, sourcing, and technical requirements needed to adapt a compact RF sensing product for defence applications. Work will include requirements analysis, system and component review, security and supply-chain assessment, engagement with specialized advisors, and targeted prototype and validation activities to identify gaps related to secure design, trusted components, and operational readiness. The project supports Canada’s priorities in advanced sensing, resilient digital infrastructure, and defence technology development.

Develop a novel representation-theoretic framework for quantum algorithms and quantum compilation using recently developed connections between adelic methods and the Langlands program to quantum computing. Golden gates, optimal gate sets generalizing Clifford+T, are known to exist for all practical application via arithmetic constructions exploiting adelic analysis and recent developments in the Langlands Program. Precisely, these methods produce a number-theoretic shadow of any quantum gate, the “arithmetic avatar”, that allows for the translation of complex structures in quantum computing to a straight-forward combinatorial setting. The project will produce the first practical implementation of this construction in a quantum SDK (Qiskit), as well a rigorous study of a novel approach to quantum algorithm development that arises from this application of adelic methods.

The project will enable the firm to develop an understanding of the business opportunity in the public sector and build knowledge of procurement processes.

THIS PROJECT IS TO DETERMINE THE FEASIBILITY OF MODIFTYING OUR AI ASSISTED RECRUITMENT PLATFORM FOR USE IN THE DEFENCE INDUSTRY

GCC's mission is to 1) support innovators to develop, test and scale innovations, and 2) enable resources to flow at scale by investing in systems-level initiatives, to improve the health, wellbeing and survival among unserved and underserved populations, with an emphasis on women and girls, in countries eligible for Official Development Assistance, including those affected by conflict.

This project develops autonomous technologies to help spacecraft safely navigate around the Moon by detecting nearby objects and monitoring surface changes without needing constant contact with Earth. As lunar activity increases, particularly on the far side of the Moon, spacecraft must independently identify artificial objects, natural debris, and changes on the surface caused by meteoroid impacts.