Enhancing atomic quantum memory through collective atomic behaviours

Quantum memories are key components in the development of a quantum network. Among their many uses, these memories will facilitate the synchronization of quantum signals at repeater nodes, which are a crucial technology for extending the long-distance reach of quantum communications. Quantum memories facilitate the transfer of quantum information from electromagnetic signals into matter-based quantum […]

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Exploiting Nonlocal Effects in Quantum Error Correcting Codes

The industry partner, Xanadu, is developing large-scale quantum computers based on a photonic hardware platform. All large-scale quantum computers will rely on error correction codes in order to carry out useful computations. Due to the possibility for long-range qubit connections in a photonic system, via fibre optics, it may be possible to exploit non-local connections […]

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Magnetoelastic coupling in novel quantum spin liquids

A quantum spin liquid (QSL) is a type of magnetic material in which the spins of the electrons are highly quantum entangled. This phase of matter has particularly exotic quasi-particles – ways of increasing the energy of the system that resemble quantum particles, but also have novel properties as compared to those we are accustomed […]

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N2SOLVE: A Canadian/French Coordination Chemistry Partnership for Climate Change Solutions

N2SOLVE OVERVIEW: This research pairing between France and Canadian researchers will develop new functional molecules: ligands, transition metal, and main group compounds that promote the equitable use of resources, specifically with regard to the global nitrogen cycle. To ensure the well-being of future generations, innovative approaches that engage sustainable practice must be adopted. With an […]

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Internship project: Screening of dopants in V2O5 for enhanced electrochemical performance using machine learning-accelerated methods

Vanadium pentoxide (V2O5) is a widely studied material for electrocatalysis due to its redox properties and potential as an efficient catalyst for the oxyge¬¬n evolution reaction (OER). However, further improvements in its catalytic performance can be achieved by modifying its surface structure through the incorporation of dopants. This project aims to enhance the catalytic performance […]

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Machine Learning-Based Modeling of Spreading Dynamics in Complex Interfacial Systems

Understanding droplet interactions with surfaces is crucial for large-scale oil recovery, coating industries, and microfluidic devices. To address the remaining challenges, including the need for a universal timescale and improved theoretical and computational models, this project brings together the SoftSimu group at Western University and the Soft Materials Modelling (SMM) group at Aalto University, Finland. […]

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Unconventional quantum annealing in many-body open quantum systems

Quantum computers promise significant advantages in solving complex problems currently intractable for classical computers by leveraging principles of quantum physics such as superposition, entanglement, and tunneling to perform operations on data. One well-known approach to quantum computation is quantum annealing, pioneered by D-Wave Systems Inc., which develops quantum annealing processors to tackle optimization and sampling […]

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Exploration of early fault-tolerant Quantum Computing simulation through Hamiltonian discretization

The project’s goal is to determine a quantum-computer suitable discretization of a target Hamiltonian. We will research how to efficiently perform the interaction and kinetic energy integrals with explicitly correlated orbitals using quantum computers, and how to efficiently use the result of those computations for the encoding of Hamiltonians. Assuming the result of the relevant […]

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