Perimeter Public Lectures
In her December 2 Perimeter Public Lecture webcast, Hallberg will explore examples of emergent phenomena and demonstrate how we can tackle these problems using quantum information to filter the most relevant data. By advancing research in this field, we hope to seed advances with applications from medical equipment and new materials to efficient energy generation, transportation, and storage.
In her live Perimeter Public Lecture webcast on November 4, 2020, physicist Catherine Beauchemin used contemporary examples from COVID-19 and influenza to explain eroding public trust in health research – and why a dose of physics may be just the prescription we need. Beauchemin is a Professor of Physics at Ryerson University and a Deputy Program Director in the RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program in Japan.
What do data science and the foundations of quantum theory have to do with one another?
A great deal, it turns out. The particular branch of data science known as causal inference focuses on a problem which is central to disciplines ranging from epidemiology to economics: that of disentangling correlation and causation in statistical data.
Albert Einstein predicted a century ago the existence of gravitational waves – ripples in the fabric of spacetime moving at the speed of light. It was believed that these ripples were so faint that no experiment would ever be precise enough to detect them. But in September 2015, LIGO did exactly that. The teams working with the Laser Interferometer Gravitational-wave Observatory (LIGO) detectors in Louisiana and Washington measured a loud gravitational wave signal as it traveled through the Earth after a billion-year journey from the violent merger of two black holes.
Advances in biotech, cyber-technology, robotics, and space exploration could, if applied wisely, allow a bright future – even for 10 billion people – by the end of this century.
But there are dystopian risks we ignore at our peril.
To make progress on serious problems in biology and medicine takes a combination of skills, tools, and approaches, often requiring collaboration across seemingly disparate fields. The trick to making breakthroughs often lies in learning to communicate across disciplines to identify existing technologies – and, crucially, the new tools that need to be invented.
For thousands of years, astronomy was restricted to what we could see with our eyes. But visible light makes up only a tiny fraction of a spectrum emitted by celestial objects.
We now know that light is not the universe’s sole means to reveal the mysteries of the heavens. Until recently, we simply lacked the windows through which to view these aspects of our universe.
The 21st century may come to be known as the Age of Photonics, as we exploit our ability to make and manipulate light as an amazing carrier of energy and information. From quantum computing and entanglement to eye surgery and solar energy, humans are already reaping the benefits of our own endeavours to understand and control light.
Clifford V. Johnson is a theoretical physicist passionate about sharing science with the public. He resolved to write a book explaining physics to a lay audience, but he felt that words on a printed page did not fully convey the dynamic, collaborative nature of fundamental research.