Our group performs both theoretical and experimental research in quantum computation, quantum communications, and quantum sensing at the University of Tennessee, Knoxville (UTK) and the Oak Ridge National Laboratory (ORNL).
We research the physics of computation, and how physical systems can be engineered to perform computation in new ways that provide benefits over current CMOS-based von Neumann processors. We have a particular emphasis on quantum computation, but we also explore other candidate future computing technologies that are classical, including photonic computing and neuromorphic computing.
We are interested in multiple different physical platforms for quantum information processing, including spins in semiconductor devices, superconducting circuits, and quantum-optical systems. Each of these approaches to building quantum technologies has advantages and disadvantages, and we explore the fundamental physical limits of each, as well as work on pushing the experimental state-of-the-art. Besides working on building quantum computing and communication hardware in our experimental lab, we are also interested in studying the uses of quantum computers in the near term (noisy, intermediate-scale machines) and in the long term (fault-tolerant machines). We would like to learn if or how quantum computers can deliver benefits in the realms of optimization, quantum simulation, and machine learning. Quantum simulation was Feynman’s original motivation for proposing quantum computation, and it remains today one of the most promising potential uses of quantum computers, both with analog quantum simulators and with digital quantum simulations performed on universal circuit-model quantum computers. Quantum simulators should allow the study of the world of strongly correlated systems (for example, in quantum chemistry and in condensed-matter physics), and will hopefully lead to new physical insight and engineering capabilities in much the same way as the development of conventional computational physics did. Our explorations of classical unconventional computing technologies are also driven by a curiosity about how computations in the real world can potentially be impacted by them, with optimization and machine learning as focus areas.
The McMahon Lab will officially start at Cornell in July 2019 and we are actively recruiting new members. Please feel free to contact us if you're interested in working with us, be it as a student, a postdoctoral researcher, or as a collaborator.
The Quantum Information Science and Technology research group is part of the Federal University of ABC (UFABC), Santo André, São Paulo, Brazil. We are a very enthusiastic research group working in São Paulo metropolitan area. We are interested in most aspects of quantum information science including theoretical and experimental investigations. We are part of the joint initiative “Brazilian National Institute of Science and Technology for Quantum Information (INCT-IQ)”.
UFABC is a brand new Brazilian public university. Located in the industrial belt of São Paulo – Brazil’s largest city – in an area known as ABC. Founded in 2006, the UFABC already established a reputation for high-level interdisciplinary research and teaching, being top ranked in several aspects.
Research and innovation are also another pillars of the university. The UFABC is considered, in several ranks, the most international university in Brazil. It is also the Brazilian university with bigger publication impact with roughly a quarter of the publications in the 10% more cited publications worldwide, according to the SIR World Report, from the Scimagoir rank.
Q@TN is a joint initiative of University of Trento, Bruno Kessler Foundation, and National Research Council aimed at coordinating their on-going activities and to start new ones in the field of Quantum Science and Technologies.
Q@TN promotes research projects, technological transfer, education and training.
Research activities are planned in the areas of fundamental quantum science, quantum communications, quantum computing, quantum simulations, future sensors and metrology.