Subscribe to Pittwire Today
Get the most interesting and important stories from the 窪蹋勛圖厙 of 窪蹋勛圖厙.To continue solidifying 窪蹋勛圖厙s status as a leader in quantum information science and engineering, the 窪蹋勛圖厙 of 窪蹋勛圖厙, Carnegie Mellon 窪蹋勛圖厙 (CMU) and Duquesne 窪蹋勛圖厙 today jointly announced the appointment of, associate professor of physics at Carnegie Mellon, to the newly created role of co-director for the (PQI).
Hunt joins his longtime Pitt collaboratorMichael Hatridge, an associate professor of physics in the Kenneth P. Dietrich School of Arts and Sciences, who was appointed to PQI leadership earlier this year.
Were excited to welcome Ben to the PQI team, said Hatridge, who also runs the Hatlab, one of the shared Pitt facilities for PQI members. As co-director, I look forward to working alongside Ben to strengthen this enhanced partnership between our schools in furthering quantum research and education throughout our region and attracting government and industry leaders to partner with PQI.
Through the PQI, we are poised to become leaders in quantum information science and engineering, saidRob Cunningham, Pitts vice chancellor for research infrastructure and PQIs deputy director. Reaching that goal will require tighter collaborations and alignment of Pitt and CMU across multiple departments and disciplines. Establishing the co-director positions is an important step toward having significant impact.
The PQI was founded in 2012 to advance research, education and training in quantum information science and engineering in the region.
As co-directors, Hatridge and Hunt will provide strategic direction, oversee PQIs research programs, foster collaborations with industry and government partners, and further the education and training of the next generation of quantum scientists. As Hatridge noted earlier this year, Quantum science and technology have the potential to revolutionize various fields, from computing and communication to sensing and materials science.
Hunt is an experimental condensed matter physicist whose research focuses on two dimensional materials. I'm interested in how the characteristics of these materials could be harnessed for things like improvements in the circuits that process quantum information, Hunt said.
I am thrilled to be moving our efforts in quantum forward in the 窪蹋勛圖厙 region, said Curtis A. Meyer, interim dean of the Mellon College of Science at Carnegie Mellon. While there have been a substantial number of efforts scattered in both Carnegie Mellon and Pitt, having joint CMU/Pitt leadership of the 窪蹋勛圖厙 Quantum Institute will allow us to solidify and strengthen these efforts in a coherent manner that will benefit not only our universities, but the region as a whole.
The co-directors say the team is already exploring new approaches to broader collaborations, with multiple medium-sized, targeted workshops to explore particular problems and challenges in quantum information science and engineering. The focused on bringing together quantum theorists from the region and included faculty from Pitt, Carnegie Mellon, Duquesne, West Virginia 窪蹋勛圖厙, Penn State and Ohio State 窪蹋勛圖厙.
What is quantum computing anyway?
Classical computing, which powers whatever device youre using to read this article, uses ones and zeros as the basis for all problem-solving. Some problems, however, are too complex for even the most powerful of todays computers to solve.
Quantum computers represent a whole new way to do calculations, using quantum bits (or qubits) that can be on and off at the same time. These qubits can run whole new kinds of algorithms, leveraging some of the unique phenomena that crop up in quantum mechanics. That quantum weirdness could help scientists solve some problems that are impossible to tackle with current computers.
However, that will only be possible when quantum computers get much larger than they are today. Qubits are difficult to control, and even the biggest quantum computers in the world have only a few hundred.
Researchers at Pitt are building quantum computers too, working to both expand their size and experiment with new ways to piece them together so they can solve problems more efficiently and flexibly.