journal article·2025-07-01Open access

Fabrication and characterization of impedance-transformed Josephson parametric amplifier

Zhengyang Mei, Xiaohui Song, Xue-yi Guo, Xiang Li, Yun-hao Shi, Guihan Liang, Chenglin Deng, Li Li, Yang He, Dongning Zheng, Kai Xu, Heng Fan, Zhongcheng Xiang

AIP Advances· Volume 15· Issue 7

Abstract

In this paper, we introduce a method of using a double-layer resist lift-off process to prepare the capacitor dielectric layer for fabricating impedance-engineered Josephson parametric amplifiers (IMPAs). Compared to prior art, this method enhances fabrication success rate and accelerates production. The IMPA we made, experimentally achieves an instantaneous bandwidth over 950 (600) MHz with a gain exceeding 10 (14) dB, along with saturation input power of −115 dBm and near quantum-limited noise. We demonstrate the negligible backaction from the IMPA on superconducting qubits, resulting in no significant degradation of the relaxation time and coherence time of the qubits. The IMPA improves the signal-to-noise ratio from 1.69 to 14.56 and enables the amplification chain to achieve high quantum efficiency with η ≈ 0.26, making it a critical necessity for large-scale quantum computation.
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Research context

OpenAlex topics: Quantum Information and Cryptography · Advanced Electrical Measurement Techniques · Quantum Computing Algorithms and Architecture

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences 1 , Beijing 100190,

School of Physical Sciences, University of Chinese Academy of Sciences 2 , Beijing 100049,

Beijing Key Laboratory of Fault-Tolerant Quantum Computing, Beijing Academy of Quantum Information Sciences 3 , Beijing 100193,

Hefei National Laboratory 4 , Hefei 230088,

Songshan Lake Materials Laboratory 5 , Dongguan 523781,

Funding

National Natural Science Foundation of China · Innovation Program of Quantum Science and Technology · Beijing Nova Program · Natural Science Foundation of Guangdong Province

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