Materials challenges and opportunities for quantum computing hardware.
Nathalie P de Leon, Kohei M Itoh, Dohun Kim, Karan K Mehta, Tracy E Northup, Hanhee Paik, B S Palmer, N Samarth, Sorawis Sangtawesin, D W Steuerman
Author Information
Nathalie P de Leon: Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA. ORCID
Kohei M Itoh: School of Fundamental Science and Technology, Keio University, Yokohama 223-8522, Japan.
Dohun Kim: Department of Physics and Astronomy and Institute of Applied Physics, Seoul National University, Seoul 08826, Korea. ORCID
Karan K Mehta: Department of Physics, Institute for Quantum Electronics, ETH Zürich, 8092 Zürich, Switzerland.
Tracy E Northup: Institut für Experimentalphysik, Universität Innsbruck, 6020 Innsbruck, Austria. ORCID
Hanhee Paik: IBM Quantum, IBM T. J. Watson Research Center, Yorktown Heights, NY 10598, USA. hanhee.paik@us.ibm.com. ORCID
B S Palmer: Laboratory for Physical Sciences, University of Maryland, College Park, MD 20740, USA. ORCID
N Samarth: Department of Physics, The Pennsylvania State University, University Park, PA 16802, USA. ORCID
Sorawis Sangtawesin: School of Physics and Center of Excellence in Advanced Functional Materials, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand. ORCID
D W Steuerman: Kavli Foundation, 5715 Mesmer Avenue, Los Angeles, CA 90230, USA. ORCID
Quantum computing hardware technologies have advanced during the past two decades, with the goal of building systems that can solve problems that are intractable on classical computers. The ability to realize large-scale systems depends on major advances in materials science, materials engineering, and new fabrication techniques. We identify key materials challenges that currently limit progress in five quantum computing hardware platforms, propose how to tackle these problems, and discuss some new areas for exploration. Addressing these materials challenges will require scientists and engineers to work together to create new, interdisciplinary approaches beyond the current boundaries of the quantum computing field.
