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  4. Automated design of superconducting circuits and its application to 4-local couplers

Automated design of superconducting circuits and its application to 4-local couplers

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sword-2022-07-18T16:33:19.original.xml (130 B)
Original SWORD entry document
Author(s)
Menke, Tim
•
Häse, Florian
•
Gustavsson, Simon
•
Kerman, Andrew J
•
Oliver, William D
•
Aspuru-Guzik, Alán
Date Issued
2021
Journal
npj Quantum Information
Publisher
Springer Science and Business Media LLC
Citation
Menke, Tim, Häse, Florian, Gustavsson, Simon, Kerman, Andrew J, Oliver, William D et al. 2021. "Automated design of superconducting circuits and its application to 4-local couplers." npj Quantum Information, 7 (1).
Version
Final published version
Abstract
© 2021, The Author(s). Superconducting circuits have emerged as a promising platform to build quantum processors. The challenge of designing a circuit is to compromise between realizing a set of performance metrics and reducing circuit complexity and noise sensitivity. At the same time, one needs to explore a large design space, and computational approaches often yield long simulation times. Here, we automate the circuit design task using SCILLA. The software SCILLA performs a parallelized, closed-loop optimization to design superconducting circuit diagrams that match predefined properties, such as spectral features and noise sensitivities. We employ it to design 4-local couplers for superconducting flux qubits and identify a circuit that outperforms an existing proposal with a similar circuit structure in terms of coupling strength and noise resilience for experimentally accessible parameters. This work demonstrates how automated design can facilitate the development of complex circuit architectures for quantum information processing.
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Physics
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/143820
DOI of Published Version
https://doi.org/10.1038/S41534-021-00382-6
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