An open-source Python package for analyzing superconducting quantum circuits
This tool reduces the computational bottleneck in early-stage quantum chip design, enabling faster iteration and potentially accelerating the development of superconducting qubit architectures. However, it relies on approximations that may limit accuracy for complex geometries.

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Hi everyone, As part of my PhD project, I developed an open-source Python package to rapidly analyze superconducting quantum circuits without relying on electromagnetic solvers. The motivation behind this project was to have a fast tool that can provide an estimate of the relevant circuit parameters during the early stages of quantum chip design. During this phase, many design parameters need to be adjusted repeatedly until the circuit reaches the desired Hamiltonian regime, and running full electromagnetic simulations for every iteration can become time-consuming. The goal of QuLTRA is to provide a lightweight and fast way to explore superconducting circuit designs before moving to more computationally expensive simulations. I thought it could be interesting for the community, and I would really appreciate any feedback from researchers, students, or anyone working with superconducting quantum circuits. If you try it, I would be very happy to hear your thoughts and suggestions on how to improve the tool. GitHub: https://github.com/SimonaZaccaria/QuLTRA Thanks! submitted by /u/szac_10 [link] [comments]
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