Quick Navigation

Topics

Trapped Ion Quantum Computing

High-sensitivity modulation-doped charge sensitive infrared phototransistors.

PubMed
Authors: Xia S, Fan L, Zhou C, Zhang Y, Weng Q, An Z, Chen P, Lu W

Year

2026

Paper ID

22368

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

173

Citations

0

Abstract

Charge-sensitive infrared phototransistors (CSIPs) based on GaAs/AlGaAs double quantum well structures have emerged as promising detectors for the scattering type scanning near-field optical microscope (SNOM), owing to their exceptional sensitivity in infrared radiation detection. These devices enable real-space mapping of nanoscale thermal phenomena, including thermal electron energy dissipation. However, the performance of CSIP still requires further optimization to detect extremely weak near-field signals, enabling higher temporal and spatial resolution in SNOM. In this work, we have demonstrated a GaAs/AlGaAs CSIP with significantly enhanced optoelectronic performance, achieved through oxygen impurity concentration reduction and implementation of a modulation doping scheme to boost the two-dimensional electron gas mobility in the lower quantum well. The optimized device exhibits a photocurrent of 7.43A under a source-drain bias of 30 mV at 4.2 K, achieving an exceptional responsivity of 1.34 × 10A Wat a radiation power of 5.54 pW. Notably, the devices maintain a well-defined peak response wavelength at 11.78m and remain operational at temperatures up to 50 K. These advancements significantly enhance the detection capability of CSIPs for near-field thermal imaging applications.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Charge-sensitive infrared phototransistors (CSIPs) based on GaAs/AlGaAs double quantum well structures have emerged as promising detectors for the scattering type scanning...

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.

Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #22368 #69599 Tensor network compression usin... #69595 Tantalum as a base material for... #69590 Quantum Simulation of Spin-Depe... #69589 An integrated ultrahigh vacuum ...

External citation index: OpenAlex citation signal • updated 2026-06-20 11:36:16

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.