You're viewing papers too quickly. Please wait a moment.<br>This helps keep the archive available for everyone.
Quick Navigation
Topics
Spin Qubits Silicon Quantum Computing
Low-frequency noise analysis in dual δ-doped InGaAs quantum well micro Hall sensors with different doping concentrations andlocations
Crossref
Authors: Chun-Yi Li, Wilson Yeung-Sy Su, Chii-Bin Wu
Year
2026
Paper ID
56393
Status
Peer-reviewed
Abstract Read
~2 min
Abstract Words
111
Citations
N/A
Abstract
Abstract We investigated the electric noise characteristics of Hall devices made with dual δ-doped InGaAs quantum wells by varying the doping concentration and location. The noise was studied in the frequency range from 0.1 Hz to 1 kHz at room temperature in a transverse configuration, with an active area of 140 × 140 μm^2. The Hooge parameter was found to be inversely proportional to the square of the carrier concentration, but independent of the doping location. Such significant reduction of noise, in comparison to the Hooge formula, was explained by the screening of potential modulation provided by the dual δ-doped layers. The results indicate the beneficial role of high carrier concentration in such type of device.
Why This Paper Matters
- This paper contributes to the Spin Qubits & Silicon Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Abstract We investigated the electric noise characteristics of Hall devices made with dual δ-doped InGaAs quantum wells by varying the doping concentration and location.
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 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.