CircuitQ: an open-source toolbox for superconducting circuits
Name
Aumann_2022_New_J._Phys._24_093012.pdf
Description
Published version
Size
3.53 MB
Format
Adobe PDF
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c1c1cd1cef660a2afb1c825202f63407
Author(s)
Aumann, Philipp
Menke, Tim
Oliver, William D
Lechner, Wolfgang
Date Issued
September 14, 2022
Journal
New Journal of Physics
Publisher
IOP Publishing
Citation
Philipp Aumann et al 2022 New J. Phys. 24 093012
Version
Final published version
Abstract
We introduce CircuitQ, an open-source toolbox for the analysis of superconducting circuits implemented in Python. It features the automated construction of a symbolic Hamiltonian of the input circuit and a dynamic numerical representation of the Hamiltonian with a variable basis choice. The software implementation is capable of choosing the basis in a fully automated fashion based on the potential energy landscape. Additional features include the estimation of the T1 lifetimes of the circuit states under various noise mechanisms. We review previously established circuit quantization methods and formulate them in a way that facilitates the software implementation. The toolbox is then showcased by applying it to practically relevant qubit circuits and comparing it to specialized circuit solvers. Our circuit quantization is applicable to circuit inputs from a large design space, and the software is open-sourced. We thereby add an important resource for the design of new quantum circuits for quantum information processing applications.
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1088/1367-2630/ac8cab
