NEWS

The Top 10 Emerging Technologies in 2016 according to WEF and Scientific American

June 27, 2016
The World Economic Forum’s Meta-Council on Emerging Technologies published its list of the top 10 emerging technologies in 2016. Included are a diverse range of breakthrough technologies, from batteries capable of providing power to whole villages, to “socially aware” artificial intelligence and new generation solar panels, that could soon be playing a role in tackling the world’s most pressing challenges.
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Quantum Computing: Superconducting the Future

June 5, 2016
John Stackhouse, Senior Vice-President at RBC, expands on the discussion held at the #RBCDisruptors panel on quantum computing between Rumi Morales, who runs the venture capital wing of CME Group, Murray Thom, director of professional services at D-Wave, and Andrew Fursman, CEO of 1QBit.
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Inside Davos 2016: Three Lessons from the World Economic Forum

February 8, 2016
The Fourth Industrial Revolution was the theme for discussions that took place between the world’s most influential economic, political, and industry players during the World Economic Forum’s Annual Meeting in Davos. The main stage presentations and resulting dialogue focused on the real implications of the effect that radical technological progress will have on our society. As one of 49 companies selected as this year’s World Economic Forum Technology Pioneers, 1QBit CEO Andrew Fursman participated in these conversations through presentations and panels focusing on how science will save us and the role Canada will play in developing innovative solutions.
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Google’s Upcoming Efforts in Quantum Computing

December 18, 2015
John Martinis, a professor of physics at the University of California, Santa Barbara, and his quantum computing team teamed up with Google in 2014 and are making strides to accelerate the Martinis group’s efforts in superconducting quantum computing, according to an article in the MIT Technology Review.
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Quantum Annealing Results from Google

December 8, 2015
Google has crafted problems to demonstrate that quantum annealing can offer runtime advantages for hard optimization problems that are characterized by rugged energy landscapes with tall and narrow energy barriers.
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