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날짜 2024-06-13 16:00 
일시 June 13(Thur), 4:00pm 
장소 Zoom 
연사 Dr. Arjan Ferdinand van Loo (University of Tokyo) 

물리학과 야니스 교수 연구실/액시온 및 극한상호작용 연구단 (CAPP/IBS) 입니다.

아래 세미나에 관심 있으신 연구자들의 참석을 요청드립니다.

CAPP seminars will be held. Anyone interested in this topic is warmly welcome.

 

Speaker: Dr. Arjan Ferdinand van Loo (University of Tokyo)

 

Date: June 13, 2024 (Thursday) 

 

Time: 4:00 PM (KST)

 

Venue: Zoom Video Conference Seminar (Click the link below)

 

https://kaist.zoom.us/j/6108068959?pwd=TXV2OGlWdVRtcGhmNXVTRWlla2pHQT09

Meeting ID: 610 806 8959

Passcode: 131015

 

Topic: Simulation, design and fabrication of Josephson Parametric Amplifiers for axion search

 

Abstract:

Josephson parametric amplifiers (JPAs) are devices based on superconducting electronics and Josephson junctions that can amplify weak microwave signals with the added noise being limited by the laws of quantum mechanics. As such, these devices have been implemented in various developing quantum technologies, are routinely used in microwave quantum optics experiments, and can increase the efficiency of experiments focused on detecting weak signals, such as axion search experiments. By adjusting the geometry of the JPA in design, its figures of merit, such as the tunable bandwidth, instantaneous bandwidth, maximum gain and saturation power can be chosen. We show how to design for these parameters using a combination of classical finite-element simulations in COMSOL and numerical models based on the negative resistance model [1], and how to fabricate such devices in the cleanroom. We also show how a device with an increased nonlinearity can be used to generate on-demand itinerant non-classical states.

 

[1] K. M. Sundqvist and P. Delsing, Negative-resistance models for parametrically flux-pumped superconducting quantum interference devices, EPJ Quantum Technology 1, 6 (2014)

 

Seminar Poster_Arjan.jpg

 

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» 2024-06-13 16:00  Zoom  [CAPP seminars]Simulation, design and fabrication of Josephson Parametric Amplifiers for axion search file