For a long time, scientists have been trying to unify the theory of gravitation with quantum physics. Quantized gravity is necessary to correctly describe phenomena where huge masses combine with tiny dimensions such as at the big bang or in black holes. The latter can be observed and thus can serve as an ideal testbed […]

The rapidly increasing global use of cannabis and the increasing potency of ?9-tetrahydrocannabinol (?9-THC), the primary psychoactive component, necessitate rapid, sensitive, and portable detection methods for drug screening. Traditional chromatographic and spectroscopic techniques, while accurate, have limitations that hinder their use in point-of-care (POC) and real-life scenarios. Electrochemical sensors offer a promising alternative due to […]

Quantum imaging is a microscopy technique that uses special properties of light to observe smaller features and have higher sensitivity than classical methods, especially in low-light or noisy environments like deep tissue imaging. It uses special quantum properties, such as entanglement, which is often called “spooky action at a distance” and photon-number squeezing, which is […]

Qubic Technologies, specializes in developing advanced quantum microwave transmitters and receivers for remote sensing and telecommunications applications [1]. They leverage superconducting quantum circuits composed of Josephson junctions to enable the generation of entangled microwave signals with correlations beyond classical limits [2]. Their mission is to enable clients to acquire and transmit sensitive data with unprecedented […]

softwareQ develops open-source software tools for quantum computing, focusing on fault-tolerant architectures and distributed quantum systems. The organization collaborates with companies like nuQuantum, a hardware company building quantum interconnects for distributed quantum networks. A key challenge for softwareQ is bridging the gap between theoretical proposals (e.g., semi-hyperbolic Floquet codes) and real-world hardware constraints from platforms […]

Climate change is one of the main concerns of our society and is closely linked to the large consumption of fossil fuels and their associated carbon emissions. An appealing alternative is the production of hydrogen from water, powered by sunlight. Our project aims to develop a first family of efficient hybrid dyadic catalysts for this […]

Since the beginning of recorded time, humans have been developing ways to make themselves more beautiful or otherwise change their appearance. The hair-care industry itself has a huge global economic power: its estimated total value is $47B annually. However, beauty does not come without a price: methods currently being used for hair colouring and styling […]

Miru Smart Technologies (Miru) is developing the next generation of low-cost, energy-efficient, high-quality eWindows for residential, commercial, and automotive industries. Using scalable and adaptable methodologies, electrochromic windows have the potential to yield significant gains in energy efficiency by offsetting user climate control requirements while simultaneously providing a high-quality consumer experience. In Q1 2025, Miru recently […]

Spin qubits—nanoscale quantum bits made in semiconductor materials—are a promising technology for building future quantum computers. They are highly miniaturized, can work at relatively higher temperatures than competing technologies, and can be made using standard industrial semiconductor-chip fabrication techniques, which makes them ideal for scaling up. However, traditional chip design software is not adequate for […]

This study utilizes computational plasma modelling using a Particle-in-Cell computer program to simulate and compare hydrogen and deuterium in a volume-cusp ion source to ascertain why H¯ and D¯ output beams beam production ratio is ~3:1 [3-5]. To the best of our knowledge a comprehensive modelling study does not exist explaining this effect. This project […]

This project will develop novel circuit metrics to predict model performance under realistic noise conditions, offering a practical approach to enhancing QML trainability. The research will investigate optimal parameter resilience across different circuit depths, qubit counts, and problem types, while comparing overparameterized and underparameterized regimes. Additionally, circuit metrics will be developed to predict model performance […]

Electric power plants are the number one toxic air polluters in North America. The emitted pollutants are proven to cause serious health and environmental issues. The emission of Carbon dioxide and of other pollutants, such as nitrogen oxides, sulfur dioxide – major drivers of the human-accelerated global climate change- must be monitored insitu. Our goal […]