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Two projects most recently supported by the Quantum Quest Seed Fund (QQSF) aim to make quantum concepts more easily understood. The goal of one project is to explain how differences in cultural background influence perception and acceptance to the basic principles of quantum physics, while the other aims to use interactive digital storytelling to advance quantum literacy.

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The Institute for Quantum Computing (IQC) at the University of Waterloo is proud to announce our membership in the Innovation, Science and Economic Development Canada 50 – 30 Challenge. The 50 – 30 Challenge is a program between the Government of Canada, businesses and diversity organizations with a goal to achieve both gender parity and increased presence of underrepresented groups on boards and in senior levels of management.

Faculty of Mathematics Professor William Slofstra credits the University of Waterloo’s collaborative environment for him receiving a 2021 Sloan Research Fellowship. The pure mathematician is keen to use the monetary prize that comes with the fellowship to enhance the supportive atmosphere he has benefited from at Waterloo.

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On February 11, the Institute for Quantum Computing (IQC) and its partners worldwide will celebrate the International Day of Women and Girls in Science. Each year we look at IQC’s role in what we at IQC are doing to inspire more girls and women to study and work in STEM and quantum information. And although the needle is moving, we still have a lot more work to do.

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A research paper published in 2012 by Matteo Mariantoni, faculty member at the Institute for Quantum Computing and in the University of Waterloo Department of Physics and Astronomy, appeared on the Physical Review A 50^th Anniversary Milestones list.

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Researchers have implemented a gate used in important quantum algorithms in one step on a three-level quantum system—a qutrit—for the first time.

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Advanced simulations may one day be able to help us explore new frontiers in atomic physics, build new materials and discover new drugs. But first, researchers must find the best ways to control these simulations. New research featured on the cover of Nature Machine Intelligence explores machine learning as a method for achieving optimal control.

In English

Des simulations avancées pourraient un jour nous aider à explorer de nouveaux territoires en physique atomique, à élaborer de nouveaux matériaux et à découvrir de nouveaux médicaments. Mais les chercheurs doivent d’abord trouver les meilleurs moyens de contrôler ces simulations. De nouvelles recherches, qui ont fait la couverture de la revue Nature Machine Intelligence, abordent l’apprentissage automatique comme moyen de réaliser un contrôle optimal.

En français

Three Institute for Quantum Computing (IQC) leads are among the recipients of a joint Canada-UK grant that brings together industry, government and academia to accelerate the development of quantum technologies.