Resources and Facilities for Quantum Research
A premier research laboratory in the College of Engineering, the Carnegie Mellon Nanofabrication Facility is one of the most well equipped university based facilities for thin film and nano/micro device development in the United States. The Nanofab includes a cleanroom with 2,600 square feet of class 100 space and 1,200 square feet of class 10 space, as well as three thin film labs. The Nanofab is a self supporting facility managed by the Electrical & Computer Engineering Department and occupies space on the F level of Hamerschlag Hall and on the second floor of Roberts Engineering Hall.
The Center for Simulation and Modeling (SaM) at the University of Pittsburgh is dedicated to supporting and facilitating computational-based research across the Pitt campus. SaM serves as a catalyst for multidisciplinary collaborations among professors, sponsors modeling-focused seminars, teaches graduate-level modeling courses and provides individual consultation in modeling to all researchers at the University of Pittsburgh and to several PQI members. Our areas of research include: energy and sustainability, nanoscience and materials engineering, medicine and biology, and economics and the social sciences.
The Gertrude E. and John M. Petersen Institute of NanoScience and Engineering (PINSE) is an integrated, multidisciplinary organization that brings coherence to the University's research efforts and resources in the fields of nanoscale science and engineering. The Institute's vision is to solve large, complex scientific and engineering challenges by facilitating interdisciplinary teams drawn from faculty in the Schools of Arts and Sciences, Engineering, and Health Sciences, and to educate the next generation of scientists through world-class integrated programs. PINSE provides research infrastructure for nanoscience research and fosters interactions among diverse research groups both inside and outside of the University to encourage innovative and interdisciplinary knowledge generation. The Institute serves industrial interests by forming partner groups and seeking opportunities for sharing discoveries with the commercial sector. Through an open seminar series and user meetings each semester, PINSE brings in leading researchers to present their work on nanoscience in an interdisciplinary setting in an effort to promote dissemination of expertise throughout the user community. These research goals combine to form the three tenets of PINSE – Collaboration, Innovation, and Service.
The Materials Characterization Facility is open to all research groups within the university for structural and microstructural characterization using electron, x-ray, and scanning probe methods. The facility staff provide assistance and training in all of these techniques to enable research groups to achieve their research objectives. Extensive specimen preparation facilities are also housed within the MCF Characterization Suite. Additionally, the suite houses a significant fraction of the departmental computational facilities. Finally, at the core of the suite is the department’s digital classroom; not only can students control most instruments in the suite from the classroom computers, but distance learning enables MSE students to participate in courses jointly taught with other universities.
Pittsburgh hosts the Pittsburgh Supercomputing Center (PSC), an NSF-funded National Center that holds multiple workshops on various aspects of computing each year. Several PQI members benefit from interactions with PSC and articulate in their annual symposium on Advancing Research through Computation.
The QCFD (Quantum Computing/Computational Fluid Dynamics) team is comprised of theoretical and experimental physicists, mechanical engineers, and quantum information scientists, among which are PQI members Peyman Givi, co-founder Andrew Daley, and director Jeremy Levy.
Funded by a 5-year grant from the U.S. AirForce Office of Scientific Research, the team's objective is to leverage the state of the art in to-date distinct fields of Quantum Computing (QC) and Computational Fluid Dynamics (CFD), in particular turbulent combustion, in order to develop novel QC algorithms and implementations for aerospace applications.