Market research and revenue projection in quantum technologies

Foqus Technologies Inc. provides solutions based on Quantum Information algorithms and Machine Learning techniques to enhance the sensitivity of Magnetic Resonance Technologies such as MRI and Nuclear Magnetic Resonance (NMR). We are developing a software solution that implements our proprietary quantum algorithms and enhances the MRI/NMR. Although there are various potential market applications and opportunities, […]

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Design of a Compact Accelerator Based Neutron Source

The Mitacs Globalink Award will empower an interdisciplinary research effort which is geared towards the realization of a prototype Compact Accelerator-based Neutron Source in Canada (CANS) at the University of Windsor. Three beamlines are being planned for the CANS facility and they are intended to serve applications in materials sciences, medical sciences and fluorine-18 radioisotope […]

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Advancing Materials Science using Resonant Inelastic Scattering

This program will focus on the detailed characterization of the luminescence of a series of next-generation doped phosphors for lighting applications. These narrow-band-emitting, high-efficiency phosphors have demonstrated outstanding potential for use in phosphor-converted light emitting diodes. This technology is poised to replace traditional incandescent lights and it is expected to lead to an outstanding reduction […]

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Advancing Materials Science using Resonant Inelastic Scattering – Year Two

This program will focus on the detailed characterization of the luminescence of a series of next-generation doped phosphors for lighting applications. These narrow-band-emitting, high-efficiency phosphors have demonstrated outstanding potential for use in phosphor-converted light emitting diodes. This technology is poised to replace traditional incandescent lights and it is expected to lead to an outstanding reduction […]

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Transport Properties of Layered 2D and TMD Materials Based Devices

My doctoral research work is based on the optoelectronic, and transport properties of layered two-dimensional (2D) and transition metal dichalcogenide (TMD) materials-based devices. Currently I am fabricating devices and studying their electron transport properties. The next target, to characterize the heat transportation in these devices, can’t be completed at my home institution because it requires […]

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Investigation of the light production in liquid Xenon during the first ns

Positron Emission Tomography (PET) is a medical imaging modality enabling the detection of many physiological process, such as the uptake of specific molecule by cancer cells. Inside the patient, 511keV gamma produced by positron annihilation is detected and the annihilated point is mapped. Detecting the interaction time of each gamma-ray with a 10ps timing resolution […]

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Development of quantum dot fluorescent probes/contrast agents

Iron-based nanoparticles can not only be used in sensitizers or absorbers but also retain excellent electrical conductivity, optical, electrical, and magnetic properties. So far, very few synthetic methods are known to implement stable Iron-based nanomaterials. We propose to develop novel synthesis routes to produce QDs. In addition, we plan to develop surface modification processes to […]

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Stochastic Electrodynamics Simulations using the Xanadu Quantum Cloud

The proposed project investigates an approach to solve difficult physics problems, which are too computationally intensive for standard computers, using Xanadu’s near-term quantum computers. The goal of the project is to create a simulation tool that harnesses the exponential increase in efficiency offered by quantum computers to simulate the movement of particles and the subsequent […]

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Development of novel nonlinear time-tenses for ultrafast signal processing applications

Manipulation and characterization of ultrafast optical signals are fundamental procedures for a wide range of applications, including telecommunications, biology, quantum information science, spectroscopy, and atomic and molecular physics. In this context, the so-called theory of space-time duality offers a powerful framework for the development of important optical signal processing functionalities. One of its key elements […]

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Quantum Training of Neural Networks

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be […]

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Simultaneous localization and mapping using a magnetic quantum sensor

Vehicles that are able to autonomously move in the air, on the ground, or underwater must fuse various forms of sensor data together in order to ascertain the vehicles location relative to objects or a map. Typical sensor data includes inertial measurement unit data and some sort of positioning data, such as GPS data. However, […]

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Simulating dynamics of flux qubits with charge and hybrid flux noise

D-Wave Systems has designed processors based on a scalable architecture that aim to implement quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. A minimal requirement for a device to perform quantum annealing is that it maintains coherence throughout an appreciable fraction of the annealing protocol. In reality, […]

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