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Updated: Jun 13, 2026

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Resonance Fluorescence of an InGaAs Quantum Dot in a Planar Cavity Using Orthogonal Excitation and Detection
Published on: October 13, 2017
A surface plasmon enhanced infrared photodetector based on InAs quantum dots
Chun-Chieh Chang1, Yagya D Sharma, Yong-Sung Kim
1The Future Chips Constellation & Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.
Nano Letters
|April 22, 2010
Summary
We enhanced infrared photodetectors by integrating gold two-dimensional hole arrays (2DHA) with indium arsenide quantum dots (QD). This plasmonic-QD interaction boosted photoresponse by 130%, enabling advanced surveillance and medical diagnostics.
Area of Science:
- Optoelectronics
- Plasmonics
- Nanotechnology
Background:
- Semiconductor quantum dots (QDs) are crucial for infrared detection.
- Enhancing QD photodetector performance, particularly infrared photoresponse, remains a key challenge.
- Plasmonic structures offer potential for light manipulation and signal enhancement.
Purpose of the Study:
- To integrate a gold two-dimensional hole array (2DHA) with InAs quantum dots (QDs).
- To investigate the plasmonic-QD interaction for enhanced infrared photoresponse.
- To assess the suitability of the developed photodetector for practical applications.
Main Methods:
- Fabrication of a gold 2DHA structure.
- Integration of the 2DHA with InAs QD layers.
- Experimental characterization of the 2DHA-QD photodetector's optical and electrical properties.
- Analysis of light-matter interaction mechanisms.
Main Results:
- Achieved a 130% absolute enhancement in infrared photoresponse at plasmonic resonance.
- Demonstrated strong plasmonic-QD interaction due to optimized 2DHA design and spatial matching.
- Confirmed that 2DHA fabrication is scalable and does not degrade photodetector noise characteristics.
Conclusions:
- The integrated 2DHA-QD structure significantly enhances infrared photodetector performance.
- Optimized plasmonic coupling and QD positioning are key to performance improvement.
- This technology is promising for surveillance and medical diagnostic applications.

