Optimizing heuristics for spin-glass problems for diverse solutions

Optimization problems, such as finding the shortest or fastest path to a destination are ubiquitous in industry. Hower, for some industrial applications it may be desirable to have a set of few diverse, yet nearly optimal solutions. The goal of this project is to create new optimization problem solvers that focus on both quality and diversity of the solutions proposed. These solvers will subsequently be used to assess the performance of the D-Wave quantum annealer processor.

Quantum Resources Required for GKP Qubits

Qubits are fundamental units for quantum computation. Photonics is a promising physical medium to realize large-scale quantum computation. One proposal to realize photonic qubits was proposed by Gottesman, Kitaev and Preskill (GKP). Here, the logical qubit is encoded into states of a bosonic mode or a quantum harmonic oscillator. It is expected that such a procedure will lead to a better quality and number of qubits.

Lake Melville Oceanography Study

The research will establish a hydrodynamic numerical model of the forces which exert influences on the circulation and the residence time (amount of time water spends in a given body of water) of Lake Melville, Labrador. The study seeks to understand the water properties in the lake, and how the development of nearby hydroelectric projects and climate change affect the oceanography of the lake.

Enabling the next revolution in global food production through automatically labelled data sets and machine learning

We envision a future where it will be possible to lavish the same attention on individual plants in a large prairie crop farm as one might on those in a backyard garden. As camera sensors shrink in size, and self-driving vehicles continue to improve, such an idea is no longer the realm of science fiction. The remaining piece of the puzzle, however, is the need for a very large number of pre-identified images of crop plants and weeds with which to train a computer to recognize one from the other.

Exploring surface nanoscale axial photonics resonators for ultrahigh-resolution optical gyroscope applications

We will fabricate cylindrical glass microstructures that keep light traveling in circles for a very long time. The circular trajectory of the confined light changes very sensitively due to rotational motion of the cylinders, and these changes can be measured by detecting angular velocity. Therefore, the project aims at developing these cylinders that allow light for many rounds of propagation without leaking, as a way to increase the sensitivity to rotations.

Development and optimization of a new roll-to-roll atmospheric pressure plasma reactor: deposition of functional nanocomposite coatings on Polymer and Paper Rolls

Wood and wood-related substances have been among the most important materials in human history. Today, various forms of wood are being used in numerous industries, and therefore a significant market exists for improved and functionalized wood-based products. In this context, we’re proposing an atmospheric-pressure plasma-based approach to treatment of wood-based surfaces using a roll-to-roll cold plasma reactor.

Position sensitive detector density well logging tool development

In well-logging industry, gamma-ray density logging is an indispensable method to determine formations’ lithology and porosity. This research proposal under the support of Mitacs and Rimpac Advanced Technology Development Ltd. aims at developing a high-resolution density well logging tool which is expected to achieve higher precision and better vertical resolution of formation density measurement. This work is based on a previous Mitacs project. In this project, we will study the performance of this novel density logging tool in some complex geologic models.

Modelling and Experimental Validation of the Interaction of Multiple Mercury Arc Lamps in Ultraviolet (UV) Reactors

Trojan Technologies uses ultraviolet (UV) lamps in reactors to purify water. When multiple lamps in a reactor are active at once, light emitted by the various lamps can interact with neighbouring lamps, creating effects that are not well taken into account in current industrial lamp models. The goal of this project is to develop a more accurate model, which accounts for these phenomena, to better predict the distribution of UV light inside a reactor. To do this, we have developed a numerical model of the photon-plasma interactions, which agrees well with work found in the literature.

Graphics Processing Unit Solutions for Power Systems Computer Aided Design: Collaborative Exploration with the University of Winnipeg

Graphics Processing Units (GPUs) are usually employed to quickly render images on everyday computer screens, and do so quickly and efficiently for relatively little cost. Modern GPUs are able to do hundreds or thousands of simultaneous calculations; rewriting conventional computer problems in the language of GPUs offers the potential to dramatically decrease the computing time for complex problems such as Electromagnetic Transmission (EMT) simulations.

RBC-Toronto Quantum Key Distribution Network Development

The interns will develop a quantum communication network built on RBC’s optical fiber infrastructure and perform secure commercial transactions using quantum-generated secure keys in the integrated classical communication network. The quantum communication network will be based on the measurement-device-independent quantum key distribution technology, which is developed by Prof. Hoi-Kwong Lo’s and Prof. Li Qian’s groups at the University of Toronto. It will be an important milestone towards cybersecurity in the financial sector in Canada.