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

Kyaw, Thi Ha; Menke, Tim; Sim, Sukin; Anand, Abhinav; Sawaya, Nicolas P.D.; Oliver, William D.; Guerreschi, Gian Giacomo; Aspuru-Guzik, Alán

doi:10.1103/physrevapplied.16.044042

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

Journal Article · Fri Oct 22 00:00:00 EDT 2021 · Physical Review Applied

DOI:https://doi.org/10.1103/physrevapplied.16.044042· OSTI ID:1979634

^[1]; ^[2]; ^[3]; Anand, Abhinav ^[4]; ^[5]; ^[6]; ^[5]; Aspuru-Guzik, Alán ^[7]

Univ. of Toronto, ON (Canada); OSTI
Harvard Univ., Cambridge, MA (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Research Lab. of Electronics; Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Harvard Univ., Cambridge, MA (United States)
Univ. of Toronto, ON (Canada)
Intel Labs, Santa Clara, CA (United States)
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Research Lab. of Electronics; Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Univ. of Toronto, ON (Canada); Vector Inst. for Artificial Intelligence, Toronto, ON (Canada); Canadian Inst. for Advanced Research, Toronto, ON (Canada)

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.

View Accepted Manuscript (DOE)

Research Organization:: Emory Univ., Atlanta, GA (United States); Krell Institute, Ames, IA (United States)

Sponsoring Organization:: US Office of Naval Research (ONR); USDOE Office of Science (SC)

Grant/Contract Number:: FG02-97ER25308; SC0019374

OSTI ID:: 1979634

Journal Information:: Physical Review Applied, Journal Name: Physical Review Applied Journal Issue: 4 Vol. 16; ISSN 2331-7019

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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