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Updated: Jan 23, 2026

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Fabrication and Characterization of Superconducting Resonators
Published on: May 21, 2016
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Capabilities of the 3D-MLSI software tool in superconducting neuron design
Irina E Tarasova1,2,3, Nikita S Shuravin1, Liubov N Karelina1
1Osipyan Institute of Solid State Physics RAS, 2 Academician Osipyan str., Chernogolovka, Moscow Region, 142432, Russia.
Beilstein Journal of Nanotechnology
|January 22, 2026
Summary
This study validates 3D-MLSI software for superconducting electronics. The inductance extraction tool accurately models niobium-based Josephson circuits, crucial for adiabatic neurons.
Area of Science:
- Superconducting electronics
- Quantum computing
- Niobium technology
Background:
- 3D-MLSI software is established for inductance extraction.
- Its application in niobium-based Josephson circuits, particularly for adiabatic neurons, remains underexplored.
- Adiabatic neurons are highly sensitive to inductive parameter variations.
Purpose of the Study:
- To thoroughly study and verify the capabilities of the 3D-MLSI software.
- To assess its accuracy for inductance extraction in niobium-based superconducting circuits.
- To confirm its suitability for designing adiabatic neurons.
Main Methods:
- Utilized the 3D-MLSI software for inductance extraction.
- Conducted experimental measurements of inductive parameters.
- Compared extracted inductance values with experimental data for Josephson circuits.
Main Results:
- Demonstrated good agreement between experimental and extracted inductances.
- Verified the accuracy and effectiveness of 3D-MLSI for superconducting multilayer structures.
- Confirmed the software's capability in modeling sensitive inductive parameters.
Conclusions:
- 3D-MLSI software package has high potential for designing superconducting electronics.
- The tool is validated for accurate inductance extraction in niobium technology.
- Successful application in adiabatic neuron design is confirmed.
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