Lumped-element SNAIL parametric amplifier with two-pole matching network
Broadband impedance-matched Josephson parametric amplifiers are key components for high-fidelity single-shot multi-qubit readout. Nowadays, several types of impedance matched parametric amplifiers have been proposed: the first is an impedance-matched parametric amplifier based on a Klopfenstein taper, and the second is the impedance-matched parametric amplifier based on auxiliary resonators. Here, we present the quantum-limited 3-wave-mixing lumped-element SNAIL parametric amplifier with two-pole impedance matching transformer. A two-pole Chebyshev matching network with shunted resonators is based on parallel-plate capacitors and superconducting planar coil. Operating in a flux-pumped mode, we experimentally demonstrate an average gain of 15 dB across a 600 MHz bandwidth, along with an average saturation power of −107 dBm and quantum-limited noise temperature.
Authors
- Vladimir V. Echeistov (ORCID: https://orcid.org/0000-0002-2258-9843)
- Elizaveta I. Malevannaya (ORCID: https://orcid.org/0000-0002-3298-8856)
- Dmitry A. Baklykov (ORCID: https://orcid.org/0000-0002-3595-7510)
- Dmitry O. Moskalev (ORCID: https://orcid.org/0000-0001-8446-6059)
- Ilya A. Rodionov (ORCID: https://orcid.org/0000-0002-8931-5142)
- Nikita S. Smirnov (ORCID: https://orcid.org/0000-0003-4097-5761)
- Aleksei R. Matanin (ORCID: https://orcid.org/0000-0003-4746-8455)
- Aleksey K. Kuguk (ORCID: https://orcid.org/0000-0001-7844-0039)
- Аnton I. Ivanov (ORCID: https://orcid.org/0000-0002-7208-259X)
- Victor I. Polozov (ORCID: https://orcid.org/0000-0003-1783-6333)
- Igor S. Korobenko
- Daria A. Moskaleva (ORCID: https://orcid.org/0000-0002-4649-5841)
- M. Teleganov
- G. Nikerov
- J. Agafonova
Institutions
- Bauman Moscow State Technical University (RU)
- All Russia Research Institute of Automatics (RU)
Publication Details
- Journal
- Applied Physics Letters
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1063/5.0230973
- Citations
- 3
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.52