Integrating First Principles and Big-Data Analytics for Improved Biomolecular Simulations

Laws of physics combined with computational prowess has allowed us to simulate biological processes at a molecular level, which have a wide range of applications which include guiding experimental observations, designing drugs with molecular precision, and improving bio-sensor technology. However, the existing models use approximations that that limit scope of their applicability, due to the […]

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Quantum autoencoder as storage device

The Quantum Autoencoder was proposed as a device which can compress quantum states efficiently. One possible application on near term quantum devices would be the compression of quantum data in order to protect it from decoherence effects. The compression however, also introduces noise to the quantum states so that it will not always be beneficial […]

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Croissance in situ dans un microscope électronique à transmission de germanium et d’arsenic de gallium sur couches de graphène mono et multi-feuillets

Le projet porte sur la croissance in-situ de germanium et de GaAs sur membranes de carbones (graphene). Ces croissances seront réalisées dans le microscope électronique en transmission « Nanomax ». Le but du travail est d’étudier la germination initiale de ces deux semi-conducteurs sur membrane de graphene. Il s’agira, précisément, d’étudier les processus de germination/ […]

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Phase-field crystal modeling of the interplay between nanostructure changes and ion transport in lithium-ion battery electrodes

The focus of my research is modelling graphene-hBN (graphene-hexagonal-boron nitride), a novel two-dimensional ceramic with the ability to allow for the measurement of both plastic and elastic strain. Mixing graphene with hBN augments the properties of the ceramic by making it stronger and more versatile. When exposed to an elastic strain, the ceramic will exhibit […]

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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 […]

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Applied Research in Performance Enhancement for Quantum Annealing

D-Wave Systems develops and manufactures quantum annealing processors. These processors implement a model of quantum computation that seeks to solve hard problems by exploiting quantum effects such as tunneling and superposition. The aim of this project is to study and improve the performance of quantum annealing processors by mitigating inherent and implementation-dependent failure mechanisms for […]

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Germanium nanomaterials/polymer hybrid for solar cells

Due to the limited sources of fossil fuel and growing demand of world-wide energy, research on inexpensive alternative energy sources has significantly increased past few years. While the conventional silicon solar cells are expensive, they are also unable to provide enough energy density for current and future societal needs. Semiconductor polymers are excellent candidates as […]

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Computatiol Investigation of Ni-Ceria Nanocatalysts to Produce Hydrogen in Aquaprocessing of Heavy Oil

The use of unconventional heavy oil, such as the bitumen derived from oil sands, has progressively increased, placing these materials as a compelling alternative to meet short- and long-term energy demands. Nevertheless, the current technologies available to exploit and upgrade this crude have critical challenges, such as high production costs, lower energy efficiency, and, even […]

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Axiomatizing complementarity in infinite dimensions

Quantum mechanics explains the behavior of particles in sub-atomic levels. A feature of quantum mechanics is that measurable properties of physical systems occur in complementary pairs : one can ‘know’ the value of only one of the paired properties at any point in time. For example, measuring the position observable changes the value of the […]

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Investigating Infinite Dimensional Models of Quantum Computation

As in the classical case, quantum computers are modeled by circuits: that is, basic components connected by wires. Circuit models of computation are used for optimization, minimizing the cost of implementing quantum computers. There are various circuit models for quantum computing with different features. Models of quantum computation generally do not allow for information to […]

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