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      Materials challenges and opportunities for quantum computing hardware

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          Abstract

          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.

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          Fault-tolerant quantum computation by anyons

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            Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer

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              The nitrogen-vacancy colour centre in diamond

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                Author and article information

                Contributors
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                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                April 15 2021
                April 16 2021
                April 15 2021
                April 16 2021
                : 372
                : 6539
                : eabb2823
                Affiliations
                [1 ]Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA.
                [2 ]School of Fundamental Science and Technology, Keio University, Yokohama 223-8522, Japan.
                [3 ]Department of Physics and Astronomy and Institute of Applied Physics, Seoul National University, Seoul 08826, Korea.
                [4 ]Department of Physics, Institute for Quantum Electronics, ETH Zürich, 8092 Zürich, Switzerland.
                [5 ]Institut für Experimentalphysik, Universität Innsbruck, 6020 Innsbruck, Austria.
                [6 ]IBM Quantum, IBM T. J. Watson Research Center, Yorktown Heights, NY 10598, USA.
                [7 ]Laboratory for Physical Sciences, University of Maryland, College Park, MD 20740, USA.
                [8 ]Quantum Materials Center, University of Maryland, College Park, MD 20742, USA.
                [9 ]Department of Physics, The Pennsylvania State University, University Park, PA 16802, USA.
                [10 ]School of Physics and Center of Excellence in Advanced Functional Materials, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
                [11 ]Kavli Foundation, 5715 Mesmer Avenue, Los Angeles, CA 90230, USA.
                Article
                10.1126/science.abb2823
                33859004
                e1a0807b-4a1b-4aa1-8240-daab124d71b9
                © 2021

                https://www.sciencemag.org/about/science-licenses-journal-article-reuse

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