Quick Navigation
Topics
Trapped Ion Quantum Computing
Superconducting Qubits
Tunable frequency conversion and comb generation with a superconducting artificial atom
arXiv
Authors: Fahad Aziz, Zhengqi Niu, Tzu-Yen Hsieh, Kuan Ting Lin, Yu-Huan Huang, Yen-Hsiang Lin, Ching-Yeh Chen, Yu-Ting Cheng, Kai-Min Hsieh, Jeng-Chung Chen, Anton Frisk Kockum, Guin-Dar Lin, Zhi-Rong Lin, Ping-Yi Wen, Io-Chun Hoi
Year
2025
Paper ID
17826
Status
Preprint
Abstract Read
~2 min
Abstract Words
146
Citations
N/A
Abstract
We investigate the power spectral density emitted by a superconducting artificial atom coupled to the end of a semi-infinite transmission line and driven by two continuous radio-frequency fields. In this setup, we observe the generation of multiple frequency peaks and the formation of frequency combs with equal detuning between those peaks. The frequency peaks originate from wave mixing of the drive fields, mediated by the artificial atom, highlighting the potential of this system as both a frequency converter and a frequency-comb generator. We demonstrate precise control and tunability in generating these frequency features, aligning well with theoretical predictions, across a relatively wide frequency range (tens of MHz, exceeding the linewidth of the artificial atom). The extensive and simple tunability of this frequency converter and comb generator, combined with its small physical footprint, makes it promising for quantum optics on chips and other applications in quantum technology.
Why This Paper Matters
- This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- We investigate the power spectral density emitted by a superconducting artificial atom coupled to the end of a semi-infinite transmission line and driven by two continuous...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.