Electronic-photonic arithmetic logic unit for high-speed computing

Zhoufeng Ying, Chenghao Feng, Zheng Zhao, Shounak Dhar, Hamed Dalir, Jiaqi Gu, Yue Cheng, Richard Soref, David Z. Pan and Ray T. Chen ()
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Zhoufeng Ying: The University of Texas at Austin
Chenghao Feng: The University of Texas at Austin
Zheng Zhao: The University of Texas at Austin
Shounak Dhar: The University of Texas at Austin
Hamed Dalir: Omega Optics, Inc.
Jiaqi Gu: The University of Texas at Austin
Yue Cheng: The University of Texas at Austin
Richard Soref: University of Massachusetts Boston
David Z. Pan: The University of Texas at Austin
Ray T. Chen: The University of Texas at Austin

Nature Communications, 2020, vol. 11, issue 1, 1-9

Abstract: Abstract The past two decades have witnessed the stagnation of the clock speed of microprocessors followed by the recent faltering of Moore’s law as nanofabrication technology approaches its unavoidable physical limit. Vigorous efforts from various research areas have been made to develop power-efficient and ultrafast computing machines in this post-Moore’s law era. With its unique capacity to integrate complex electro-optic circuits on a single chip, integrated photonics has revolutionized the interconnects and has shown its striking potential in optical computing. Here, we propose an electronic-photonic computing architecture for a wavelength division multiplexing-based electronic-photonic arithmetic logic unit, which disentangles the exponential relationship between power and clock rate, leading to an enhancement in computation speed and power efficiency as compared to the state-of-the-art transistors-based circuits. We experimentally demonstrate its practicality by implementing a 4-bit arithmetic logic unit consisting of 8 high-speed microdisk modulators and operating at 20 GHz. This approach paves the way to future power-saving and high-speed electronic-photonic computing circuits.

Date: 2020
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DOI: 10.1038/s41467-020-16057-3

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