Grants and Contributions

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

Funding under the Innovator Stream will support continued research and development of solutions under National Defence’s Funding for Canadian Innovators and Accelerators of DIANA (FCIA-DIANA) program.

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

We propose a project in which a new graduate intern is hired for 6 months as part of a trainee program. The intern will take the role of "Applications Engineering Trainee" and will undergo a project that is designed to simultaneously train her in all relevant technical subjects at Qoherent, while enabling her to contribute to a range of Qoherent's activities.

The student will be invited to participate in two projects related to the ongoing development of Qoherent's Wireless AI Sandbox (WAIS) product.

WAIS is a utility for engineers to design, train, and deploy machine learning models for radio signal classification into software-defined radios, for building better sensing and communications systems. These systems are used in national security, Satcom, and telecommunications applications.

The student will be tasked with participating in integrating our quantum machine learning work into WAIS, as well as our technology for deployment into commodity hardware-built base stations.

The Project will support development of intellectual property capacity within the Firm.

The project involves the exploration, prototyping, and testing of machine learning (ML) beamforming techniques. A testbed will be built to train and test models for inferring Angle of Arrival (AoA) and Angle of Departure (AoD) on a phased array antenna system. The models will be trained with design requirements applicable to a satellite and ground equipment context. The system will demonstrate a method where automatic, independent, and passive system self-configuration for optimal operation between satellite and ground equipment. The resulting technology could establish robust, secure, and high throughput access in previously inaccessible areas.

To expand quantum computing algorithm by adapting existing works and expand its architecture to enable its usage in one-class or multi-class problems.