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Updated: May 5, 2026

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
Published on: April 4, 2017
Silicon Dioxide Multi-Mode Interference Spectrometers
James G Harkness1, Denghui Pan2, Helio Ramollari2
1Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT 84602, USA.
This study introduces a fully silicon-based multi-mode interferometer (MMI) spectrometer. This novel spectrometer utilizes a silica core waveguide, achieving a signal-to-noise ratio (SNR) of three with improved performance over previous SU-8 core designs.
Area of Science:
- Photonics and Spectrometry
- Materials Science and Engineering
Background:
- Multi-mode interferometer (MMI) spectrometers reconstruct spectral information by analyzing light propagation patterns within waveguides.
- Previous MMI spectrometer designs utilized SU-8 core waveguides with etched nanograss scattering surfaces.
Purpose of the Study:
- To develop a fully silicon-based MMI spectrometer for enhanced performance and material compatibility.
- To investigate the fabrication of scattering features in silica core waveguides for improved light pattern imaging.
Main Methods:
- Fabrication of a silica core MMI waveguide with scattering features created using SU-8 nanograss as an etch mask.
- Utilized reactive ion etching (RIE) to transfer the SU-8 nanograss pattern into the silica core.
- Optimized RIE parameters for precise feature creation and waveguide performance.
Main Results:
- Successfully created a fully silicon-based MMI spectrometer.
- Achieved a signal-to-noise ratio (SNR) of three at an incident light power of -68 dBm.
- The silica core MMI spectrometer demonstrated a performance improvement of nearly 6 dB compared to SU-8 core designs.
Conclusions:
- The developed silica core MMI spectrometer represents a significant advancement in micro-spectrometer technology.
- The use of silicon-based materials and optimized RIE processes enables lower incident light power requirements.
- This technology holds promise for miniaturized and efficient spectral analysis applications.
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