Quick Navigation
Topics
Trapped Ion Quantum Computing
Wavelength dependent electrical readout of spin ensembles in thin-film silicon carbide on insulator platform
arXiv
Authors: Alexander Zappacosta, Ben Haylock, Paul Fisher, Naoya Morioka, Robert Cernansky
Year
2025
Paper ID
16551
Status
Preprint
Abstract Read
~2 min
Abstract Words
140
Citations
N/A
Abstract
We report electrical spin state readout and coherent control of a small ensemble (<450) of silicon vacancies in a silicon carbide-on-insulator (SiCOI) platform, with excitation wavelengths from 780 to 990 nm. Demonstrating for the first time spin state readout well beyond the zero phonon line of the V2 silicon vacancies. By implementing photoelectrical detection of magnetic resonance (PDMR) in thin-film SiCOI, we merge a scalable and optics-free spin readout technique together with a promising platform for scalable and CMOS-compatible integrated photonics. Furthermore, we provide a comparison of optical and electrical readout between bulk SiC and thin-film SiCOI, revealing that our thin-film processing has no significant effect on the bulk T2 time of 7 microseconds. These results establish SiCOI as a versatile platform for not only integrated photonics but also electronic and spin-based devices for scalable quantum technologies over a wide range of excitation wavelengths.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- We report electrical spin state readout and coherent control of a small ensemble (
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.