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Title: Advances and opportunities in materials science for scalable quantum computing

Abstract

We report that by harnessing unique quantum mechanical phenomena, such as superposition and entanglement, quantum computers offer the possibility to drastically outperform classical computers for certain classes of problems. The realization of this potential, however, presents a substantial challenge, because noise and imperfections associated with the materials used to fabricate devices can obscure the delicate quantum mechanical effects that enable quantum computing. Hence, progress in synthesis, characterization, and modeling of materials for quantum computing have driven many exciting advances in recent years and will become increasingly important in the years to come. As progressively more complex, multi-qubit systems come online, and as significant government and industrial investment drives research forward, new challenges and opportunities for materials science continue to emerge. The articles in this issue survey the current state of materials science progress and obstacles for some leading quantum computing platforms; opportunities for deeper involvement by materials scientists abound. Ultimate realization of the full potential of quantum computers will require a multidisciplinary effort spanning many traditional areas of expertise.

Authors:
ORCiD logo [1];  [2]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Univ. of Rochester, NY (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; Defense Advanced Research Projects Agency (DARPA); Army Research Office (ARO); National Science Foundation (NSF); US Department of the Navy, Office of Naval Research (ONR)
OSTI Identifier:
1860704
Report Number(s):
LLNL-JRNL-820228
Journal ID: ISSN 0883-7694; 1031382; TRN: US2305422
Grant/Contract Number:  
AC52-07NA27344; D18AC00025; W911NF16-1-0260; W911NF-19-1-0167; DMR-1941673; DMR-2003287; OMA 1936250; N00014-20-1-2424
Resource Type:
Accepted Manuscript
Journal Name:
MRS Bulletin
Additional Journal Information:
Journal Volume: 46; Journal Issue: 7; Journal ID: ISSN 0883-7694
Publisher:
Materials Research Society
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; computing; quantum; quantum information; composition; microstructure; material type; quantum materials; performance; functionality; quantum effects; non-technical; government interactions; government policy; government funding; synthesis; processing

Citation Formats

Lordi, Vincenzo, and Nichol, John M. Advances and opportunities in materials science for scalable quantum computing. United States: N. p., 2021. Web. doi:10.1557/s43577-021-00133-0.
Lordi, Vincenzo, & Nichol, John M. Advances and opportunities in materials science for scalable quantum computing. United States. https://doi.org/10.1557/s43577-021-00133-0
Lordi, Vincenzo, and Nichol, John M. Wed . "Advances and opportunities in materials science for scalable quantum computing". United States. https://doi.org/10.1557/s43577-021-00133-0. https://www.osti.gov/servlets/purl/1860704.
@article{osti_1860704,
title = {Advances and opportunities in materials science for scalable quantum computing},
author = {Lordi, Vincenzo and Nichol, John M.},
abstractNote = {We report that by harnessing unique quantum mechanical phenomena, such as superposition and entanglement, quantum computers offer the possibility to drastically outperform classical computers for certain classes of problems. The realization of this potential, however, presents a substantial challenge, because noise and imperfections associated with the materials used to fabricate devices can obscure the delicate quantum mechanical effects that enable quantum computing. Hence, progress in synthesis, characterization, and modeling of materials for quantum computing have driven many exciting advances in recent years and will become increasingly important in the years to come. As progressively more complex, multi-qubit systems come online, and as significant government and industrial investment drives research forward, new challenges and opportunities for materials science continue to emerge. The articles in this issue survey the current state of materials science progress and obstacles for some leading quantum computing platforms; opportunities for deeper involvement by materials scientists abound. Ultimate realization of the full potential of quantum computers will require a multidisciplinary effort spanning many traditional areas of expertise.},
doi = {10.1557/s43577-021-00133-0},
journal = {MRS Bulletin},
number = 7,
volume = 46,
place = {United States},
year = {Wed Jul 14 00:00:00 EDT 2021},
month = {Wed Jul 14 00:00:00 EDT 2021}
}

Works referenced in this record:

Fidelity benchmarks for two-qubit gates in silicon
journal, May 2019


Micro-fabricated stylus ion trap
journal, August 2013

  • Arrington, Christian L.; McKay, Kyle S.; Baca, Ehren D.
  • Review of Scientific Instruments, Vol. 84, Issue 8
  • DOI: 10.1063/1.4817304

Trapped-ion quantum computing: Progress and challenges
journal, June 2019

  • Bruzewicz, Colin D.; Chiaverini, John; McConnell, Robert
  • Applied Physics Reviews, Vol. 6, Issue 2
  • DOI: 10.1063/1.5088164

An addressable quantum dot qubit with fault-tolerant control-fidelity
journal, October 2014

  • Veldhorst, M.; Hwang, J. C. C.; Yang, C. H.
  • Nature Nanotechnology, Vol. 9, Issue 12
  • DOI: 10.1038/nnano.2014.216

Gate-Defined Quantum Dots in Intrinsic Silicon
journal, July 2007

  • Angus, Susan J.; Ferguson, Andrew J.; Dzurak, Andrew S.
  • Nano Letters, Vol. 7, Issue 7
  • DOI: 10.1021/nl070949k

Fabrication process and failure analysis for robust quantum dots in silicon
journal, October 2020


Superconducting Qubits: Current State of Play
journal, March 2020


A fabrication guide for planar silicon quantum dot heterostructures
journal, February 2018

  • Spruijtenburg, Paul C.; Amitonov, Sergey V.; Wiel, Wilfred G. van der
  • Nanotechnology, Vol. 29, Issue 14
  • DOI: 10.1088/1361-6528/aaabf5

Low-frequency charge noise in Si/SiGe quantum dots
journal, October 2019


Quantum computing with atomic qubits and Rydberg interactions: progress and challenges
journal, October 2016


Simulating physics with computers
journal, June 1982

  • Feynman, Richard P.
  • International Journal of Theoretical Physics, Vol. 21, Issue 6-7
  • DOI: 10.1007/BF02650179

Quantum computing with semiconductor spins
journal, August 2019

  • Vandersypen, Lieven M. K.; Eriksson, Mark A.
  • Physics Today, Vol. 72, Issue 8
  • DOI: 10.1063/PT.3.4270

NMR techniques for quantum control and computation
journal, January 2005


A programmable two-qubit quantum processor in silicon
journal, February 2018

  • Watson, T. F.; Philips, S. G. J.; Kawakami, E.
  • Nature, Vol. 555, Issue 7698
  • DOI: 10.1038/nature25766

Quantum Control over Single Spins in Diamond
journal, April 2013


Observation of superconductivity and surface noise using a single trapped ion as a field probe
journal, February 2019


Quantum supremacy using a programmable superconducting processor
journal, October 2019


Materials science for quantum information science and technology
journal, June 2020

  • Richardson, Christopher J. K.; Lordi, Vincenzo; Misra, Shashank
  • MRS Bulletin, Vol. 45, Issue 6
  • DOI: 10.1557/mrs.2020.147

Novel characterization of dopant-based qubits
journal, July 2021


Materials challenges for quantum technologies based on color centers in diamond
journal, July 2021


Atomic-precision advanced manufacturing for Si quantum computing
journal, July 2021


Towards understanding two-level-systems in amorphous solids: insights from quantum circuits
journal, October 2019

  • Müller, Clemens; Cole, Jared H.; Lisenfeld, Jürgen
  • Reports on Progress in Physics, Vol. 82, Issue 12
  • DOI: 10.1088/1361-6633/ab3a7e

Donor Spins in Silicon for Quantum Technologies
journal, July 2020

  • Morello, Andrea; Pla, Jarryd J.; Bertet, Patrice
  • Advanced Quantum Technologies, Vol. 3, Issue 11
  • DOI: 10.1002/qute.202000005

Quantum Computing in the NISQ era and beyond
journal, August 2018


Photonic quantum information processing: a review
journal, November 2018

  • Flamini, Fulvio; Spagnolo, Nicolò; Sciarrino, Fabio
  • Reports on Progress in Physics, Vol. 82, Issue 1
  • DOI: 10.1088/1361-6633/aad5b2

Majorana zero modes and topological quantum computation
journal, October 2015

  • Sarma, Sankar Das; Freedman, Michael; Nayak, Chetan
  • npj Quantum Information, Vol. 1, Issue 1
  • DOI: 10.1038/npjqi.2015.1

Materials and device simulations for silicon qubit design and optimization
journal, July 2021


Development of Quantum Interconnects (QuICs) for Next-Generation Information Technologies
journal, February 2021


Materials issues for quantum computation
journal, October 2013


The Path to Scalable Distributed Quantum Computing
journal, September 2016


Electrostatically defined few-electron double quantum dot in silicon
journal, April 2009

  • Lim, W. H.; Huebl, H.; Willems van Beveren, L. H.
  • Applied Physics Letters, Vol. 94, Issue 17
  • DOI: 10.1063/1.3124242

Silicon quantum electronics
journal, July 2013

  • Zwanenburg, Floris A.; Dzurak, Andrew S.; Morello, Andrea
  • Reviews of Modern Physics, Vol. 85, Issue 3
  • DOI: 10.1103/RevModPhys.85.961

Palladium gates for reproducible quantum dots in silicon
journal, April 2018

  • Brauns, Matthias; Amitonov, Sergey V.; Spruijtenburg, Paul-Christiaan
  • Scientific Reports, Vol. 8, Issue 1
  • DOI: 10.1038/s41598-018-24004-y

Isotope engineering of silicon and diamond for quantum computing and sensing applications
journal, November 2014

  • Itoh, Kohei M.; Watanabe, Hideyuki
  • MRS Communications, Vol. 4, Issue 4
  • DOI: 10.1557/mrc.2014.32

Quantum Internet: Networking Challenges in Distributed Quantum Computing
journal, January 2020

  • Cacciapuoti, Angela Sara; Caleffi, Marcello; Tafuri, Francesco
  • IEEE Network, Vol. 34, Issue 1
  • DOI: 10.1109/MNET.001.1900092