Quantum Computing

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The realization of the potential benefits of quantum computing to a variety of research computing paradigms and to society as whole is a tantalizing prospect.  Certain research computing paradigms, such as optimization problems and search and factoring algorithms, are reaping the advantages of computing approaches influenced by the implementation of quantum mechanical principles.  Development of hardware based on the same is producing novel compute environments using trapped ions, superconducting transmons and photonic elements.  Discovering the ways in which quantum computing ideas and manifestations can integrate with current classical systems to enhance computation as a whole is a central focus of the Quantum Collaborative.  Uniting industry, academia and national laboratories toward advancing high-performance computing is one example of the Collaborative’s aspirations to leverage quantum techniques to solve those most elusive of global challenges.

Steering committee

Ying-Cheng Lai

Regents Professor, School of Electrical, Computer and Energy Engineering, Arizona State University

Expertise: Quantum Control and Information, Machine Learning, Quantum Chaos, 2D Dirac Materials Physics, Complex Networks, Nonlinear Dynamics

David Ferry

Emeritus Professor, School of Electrical, Computer and Energy Engineering, Arizona State University

Expertise: Quantum transport in condensed matter and semiconductor devices

Andreas Spanias

Professor and Senior Global Futures Scientist, Arizona State University

Expertise: Machine Learning, Signal Processing and Communications

Vladimiro Mujica

Professor, School of Molecular Sciences, Arizona State University

Expertise: Molecular Quantum Information Sciences, Quantum Sensing, Quantum Biology

Houlong Zhuang

Assistant Professor, School for Engineering of Matter, Transport and Energy, Arizona State University

Expertise: Quantum Simulations, Machine Learning, and Quantum Computing

Gennaro De Luca

Assistant Teaching Professor, School of Computing and Augmented Intelligence, Arizona State University

Expertise: Quantum/Classical Machine Learning and Algorithms, Software Verification, Computer Science Education

Douglas Jennewein

Senior Director, Research Computing, Research Technology Office, Arizona State University

Expertise: Classical Computer Science, High Performance Computing, cyberinfrastructure workforce development and professionalization

Gil Speyer

Director, Research Technology Office, Computational Research Accelerator, Arizona State University

Expertise: Quantum Computing simulation environments, HPC, numerical methods

Torey Battelle

Associate Director, Research Technology Office, Arizona State University

Expertise: Quantum Information Theory, Condensed Matter Physics, High-Performance Computing

Acknowledgment Statement for the Quantum Collaborative

Publications/proposals/projects/research using resources provided by the Quantum Collaborative are requested to include the following acknowledgment statement: 

The Quantum Collaborative, led by Arizona State University, provides valuable expertise and resources for this (research/proposal/publication/project). The Quantum Collaborative connects top scientific programs, initiatives, and facilities with prominent industry partners to advance the science and engineering of quantum information science.

Contact us to find out how you can engage with the Quantum Collaborative