Photonic integration for UV to IR applications
Abstract
Photonic integration opens the potential to reduce size, power, and cost of applications normally relegated to table- and rack-sized systems. Today, a wide range of precision, high-end, ultra-sensitive, communication and computation, and measurement and scientific applications, including atomic clocks, quantum communications, processing, and high resolution spectroscopy, are ready to make the leap from the lab to the chip. However, many of these applications operate at wavelengths not accessible to the silicon on insulator-based silicon photonics integration platform due to absorption, power handling, unwanted nonlinearities, and other factors. Next generation photonic integration will require ultra-wideband photonic circuit platforms that scale from the ultraviolet to the infrared and that offer a rich set of linear and nonlinear circuit functions as well as low loss and high power handling capabilities. This article provides an assessment of the field in ultra-wideband photonic waveguides to bring power efficient, ultra-high performance systems to the chip-scale and enable compact transformative precision measurement, signal processing, computation, and communication techniques.
- Authors:
-
[1]
- Univ. of California, Santa Barbara, CA (United States). Dept. of Electrical and Computer Engineering
- Publication Date:
- Research Org.:
- Univ. of California, Santa Barbara, CA (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1799137
- Alternate Identifier(s):
- OSTI ID: 1598920
- Grant/Contract Number:
- AR0001042
- Resource Type:
- Accepted Manuscript
- Journal Name:
- APL Photonics
- Additional Journal Information:
- Journal Volume: 5; Journal Issue: 2; Journal ID: ISSN 2378-0967
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; Clocks; Chip scale; Photonic integrated circuits; Frequency combs; Nonlinear optics; Coupled resonators; Signal processing; High resolution spectroscopy; Optical communications; Silicon photonics
Citation Formats
Blumenthal, Daniel J. Photonic integration for UV to IR applications. United States: N. p., 2020.
Web. doi:10.1063/1.5131683.
Blumenthal, Daniel J. Photonic integration for UV to IR applications. United States. https://doi.org/10.1063/1.5131683
Blumenthal, Daniel J. Tue .
"Photonic integration for UV to IR applications". United States. https://doi.org/10.1063/1.5131683. https://www.osti.gov/servlets/purl/1799137.
@article{osti_1799137,
title = {Photonic integration for UV to IR applications},
author = {Blumenthal, Daniel J.},
abstractNote = {Photonic integration opens the potential to reduce size, power, and cost of applications normally relegated to table- and rack-sized systems. Today, a wide range of precision, high-end, ultra-sensitive, communication and computation, and measurement and scientific applications, including atomic clocks, quantum communications, processing, and high resolution spectroscopy, are ready to make the leap from the lab to the chip. However, many of these applications operate at wavelengths not accessible to the silicon on insulator-based silicon photonics integration platform due to absorption, power handling, unwanted nonlinearities, and other factors. Next generation photonic integration will require ultra-wideband photonic circuit platforms that scale from the ultraviolet to the infrared and that offer a rich set of linear and nonlinear circuit functions as well as low loss and high power handling capabilities. This article provides an assessment of the field in ultra-wideband photonic waveguides to bring power efficient, ultra-high performance systems to the chip-scale and enable compact transformative precision measurement, signal processing, computation, and communication techniques.},
doi = {10.1063/1.5131683},
journal = {APL Photonics},
number = 2,
volume = 5,
place = {United States},
year = {Tue Feb 11 00:00:00 EST 2020},
month = {Tue Feb 11 00:00:00 EST 2020}
}
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