Quantum Computer-Aided Design: Digital Quantum Simulation of Quantum Processors

Thi Ha Kyaw, Tim Menke, Sukin Sim, Abhinav Anand, Nicolas P.D. Sawaya, William D. Oliver, Gian Giacomo Guerreschi, and Alán Aspuru-Guzik
Phys. Rev. Applied 16, 044042 – Published 22 October 2021

Abstract

With the increasing size of quantum processors, submodules that constitute the processor hardware will become too large to accurately simulate on a classical computer. Therefore, one would soon have to fabricate and test each new design primitive and parameter choice in time-consuming coordination between design, fabrication, and experimental validation. Here we show how one can design and test the performance of next-generation quantum hardware—by using existing quantum computers. Focusing on superconducting transmon processors as a prominent hardware platform, we compute the static and dynamic properties of individual and coupled transmons. We show how the energy spectra of transmons can be obtained by variational hybrid quantum-classical algorithms that are well suited for near-term noisy quantum computers. In addition, single- and two-qubit gate simulations are demonstrated via Suzuki-Trotter decomposition. Our methods pave a promising way towards designing candidate quantum processors when the demands of calculating submodule properties exceed the capabilities of classical computing resources.

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  • Received 13 August 2020
  • Revised 13 September 2021
  • Accepted 16 September 2021

DOI:https://doi.org/10.1103/PhysRevApplied.16.044042

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Thi Ha Kyaw1,2,*,§, Tim Menke3,4,5,†,§, Sukin Sim6, Abhinav Anand2, Nicolas P.D. Sawaya7, William D. Oliver4,8, Gian Giacomo Guerreschi7, and Alán Aspuru-Guzik1,2,9,10,‡

  • 1Department of Computer Science, University of Toronto, Toronto, Ontario M5S 2E4, Canada
  • 2Department of Chemistry, University of Toronto, Toronto, Ontario M5G 1Z8, Canada
  • 3Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
  • 4Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 5Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 6Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA
  • 7Intel Labs, Santa Clara, California 95054, USA
  • 8Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 9Vector Institute for Artificial Intelligence, Toronto, Ontario M5S 1M1, Canada
  • 10Canadian Institute for Advanced Research, Toronto, Ontario M5G 1Z8, Canada

  • *thihakyaw@cs.toronto.edu
  • tim_menke@g.harvard.edu
  • alan@aspuru.com
  • §These authors contributed equally to this work.

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Vol. 16, Iss. 4 — October 2021

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