IEEE Transactions on Quantum Engineering (Jan 2023)

CMOS Integrated Circuits for the Quantum Information Sciences

  • Jens Anders,
  • Masoud Babaie,
  • Joseph C. Bardin,
  • Imran Bashir,
  • Gerard Billiot,
  • Elena Blokhina,
  • Shai Bonen,
  • Edoardo Charbon,
  • John Chiaverini,
  • Isaac L. Chuang,
  • Carsten Degenhardt,
  • Dirk Englund,
  • Lotte Geck,
  • Loick Le Guevel,
  • Donhee Ham,
  • Ruonan Han,
  • Mohamed I. Ibrahim,
  • Daniel Kruger,
  • Ka Meng Lei,
  • Adrien Morel,
  • Dennis Nielinger,
  • Gael Pillonnet,
  • Jeremy M. Sage,
  • Fabio Sebastiano,
  • Robert Bogdan Staszewski,
  • Jules Stuart,
  • Andrei Vladimirescu,
  • Patrick Vliex,
  • Sorin P. Voinigescu

DOI
https://doi.org/10.1109/TQE.2023.3290593
Journal volume & issue
Vol. 4
pp. 1 – 30

Abstract

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Over the past decade, significant progress in quantum technologies has been made, and hence, engineering of these systems has become an important research area. Many researchers have become interested in studying ways in which classical integrated circuits can be used to complement quantum mechanical systems, enabling more compact, performant, and/or extensible systems than would be otherwise feasible. In this article—written by a consortium of early contributors to the field—we provide a review of some of the early integrated circuits for the quantum information sciences. Complementary metal--oxide semiconductor (CMOS) and bipolar CMOS (BiCMOS) integrated circuits for nuclear magnetic resonance, nitrogen-vacancy-based magnetometry, trapped-ion-based quantum computing, superconductor-based quantum computing, and quantum-dot-based quantum computing are described. In each case, the basic technological requirements are presented before describing proof-of-concept integrated circuits. We conclude by summarizing some of the many open research areas in the quantum information sciences for CMOS designers.

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