中国物理B(英文版)2024,Vol.33Issue(6) :587-593.DOI:10.1088/1674-1056/ad3345

Optimize Purcell filter design for reducing influence of fabrication variation

蔡晓 周翼彪 于文龙 熊康林 冯加贵
中国物理B(英文版)2024,Vol.33Issue(6) :587-593.DOI:10.1088/1674-1056/ad3345

Optimize Purcell filter design for reducing influence of fabrication variation

蔡晓 1周翼彪 2于文龙 1熊康林 3冯加贵3
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作者信息

  • 1. Gusu Laboratory of Materials,Suzhou 215123,China
  • 2. Suzhou Institute of Nano-Tech and Nano-Bionics,Chinese Academy of Sciences,Suzhou 215123,China
  • 3. Gusu Laboratory of Materials,Suzhou 215123,China;Suzhou Institute of Nano-Tech and Nano-Bionics,Chinese Academy of Sciences,Suzhou 215123,China
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Abstract

To protect superconducting qubits and enable rapid readout,optimally designed Purcell filters are essential.To sup-press the off-resonant driving of untargeted readout resonators,individual Purcell filters are used for each readout resonator.However,achieving consistent frequency between a readout resonator and a Purcell filter is a significant challenge.A sys-tematic computational analysis is conducted to investigate how fabrication variation affects filter performance,through fo-cusing on the coupling capacitor structure and coplanar waveguide(CPW)transmission line specifications.The results indi-cate that the T-type enclosing capacitor(EC),which exhibits lower structural sensitivity,is more advantageous for achieving target capacitance than the C-type EC and the interdigital capacitor(IDC).By utilizing a large-sized CPW with the T-type EC structure,fluctuations in the effective coupling strength can be reduced to 10%,given typical micro-nanofabrication variances.The numerical simulations presented in this work minimize the influence of fabrication deviations,thereby significantly improving the reliability of Purcell filter designs.

Key words

superconducting circuit/Purcell filter/coplanar waveguide/capacitor structure

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基金项目

Project support by the Youth Innovation Promotion Association of the Chinese Academy of Sciences(CAS)(2019319)

Startup Foundation of Suzhou Institute of Nano-Tech and Nano-Bionics,CAS,Suzhou,China(Y9AAD110)

Innovative and Entrepreneurial Talents Project of Jiangsu Province,China(JSS-CBS20221743)

Excellent Postdoctoral Talent Program of Jiangsu Province,China(2023ZB816)

出版年

2024
中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子:0.995
ISSN:1674-1056
参考文献量25
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