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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
Published on: April 1, 2020
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Materials for emergent silicon-integrated optical computing
Alexander A Demkov1, Chandrajit Bajaj2, John G Ekerdt3
1Department of Physics, The University of Texas, Austin, Texas 78712, USA.
Journal of Applied Physics
|September 6, 2021
Summary
New materials are needed for efficient optical modulators, crucial for next-generation neuromorphic and quantum computing. Oxides integrated with silicon offer a path to ultra-low power, high-bandwidth computing architectures.
Area of Science:
- Materials Science
- Computer Engineering
- Photonics
Background:
- Traditional computing faces physical limits in miniaturization, speed, and power consumption.
- Neuromorphic and quantum computing offer promising alternative computational paradigms.
- Silicon photonics is a key enabler for these advanced computing approaches.
Purpose of the Study:
- To explore alternative materials for efficient, ultra-low power broadband optical modulators.
- To identify materials that can be integrated with silicon photonics.
- To enable new device and circuit architectures for next-generation computing.
Main Methods:
- Focus on oxides with a strong linear electro-optic effect.
- Investigate materials compatible with silicon integration.
- Leverage existing silicon manufacturing infrastructure.
Main Results:
- Oxide materials demonstrate potential for ultra-low power optical modulation.
- Integration of oxides with silicon enables enhanced modulator performance.
- New materials facilitate the development of energy-efficient, high-bandwidth computing.
Conclusions:
- Oxide materials are critical for overcoming the limitations of silicon modulators.
- This approach supports the development of advanced neuromorphic and quantum computing.
- The research paves the way for a new generation of powerful and energy-efficient computers.
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