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Updated: Jan 23, 2026
10:26
Fabrication and Characterization of Superconducting Resonators
Published on: May 21, 2016
11.9K
Capacidades de la herramienta de software 3D-MLSI en el diseño de neuronas superconductoras
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
Resumen
Este estudio valida el software 3D-MLSI para electrónica superconductora. La herramienta de extracción de inductancia modela con precisión los circuitos de Josephson basados en niobio, cruciales para las neuronas adiabáticas.
Área de la Ciencia:
- Electrónica superconductora
- Computación cuántica
- Tecnología de niobio
Sus antecedentes:
- El software 3D-MLSI está establecido para la extracción de inductancia.
- Su aplicación en circuitos de Josephson basados en niobio, particularmente para neuronas adiabáticas, sigue sin explorarse.
- Las neuronas adiabáticas son muy sensibles a las variaciones de los parámetros inductivos.
Objetivo del estudio:
- Estudiar y verificar a fondo las capacidades de la herramienta de software 3D-MLSI.
- Evaluar su precisión para la extracción de inductancia en circuitos superconductores basados en niobio.
- Confirmar su idoneidad para el diseño de neuronas adiabáticas.
Principales métodos:
- Se utilizó el software 3D-MLSI para la extracción de inductancia.
- Se realizaron mediciones experimentales de parámetros inductivos.
- Se compararon los valores de inductancia extraídos con los datos experimentales para circuitos de Josephson.
Principales resultados:
- Demostró una buena concordancia entre las inductancias experimentales y las extraídas.
- Verificó la precisión y efectividad de 3D-MLSI para estructuras multicapa superconductoras.
- Confirmó la capacidad del software para modelar parámetros inductivos sensibles.
Conclusiones:
- El paquete de software 3D-MLSI tiene un alto potencial para el diseño de electrónica superconductora.
- La herramienta está validada para la extracción precisa de inductancia en tecnología de niobio.
- Se confirma la aplicación exitosa en el diseño de neuronas adiabáticas.
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