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Optics-Enabled Highly Scalable Inverter for Multi-Valued Logic.

Saket Kaushal1, A Aadhi1, Anthony Roberge2

  • 1Énergie, Matériaux et Télécommunications Institut National de la Recherche Scientifique Montréal H5A 1K6 Canada.

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|December 11, 2024
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Summary
This summary is machine-generated.

This study introduces a novel multi-valued logic (MVL) inverter that overcomes scalability challenges in computing. The passive optical device achieves high-speed signal processing independent of logic levels, reducing energy consumption.

Keywords:
fibre bragg gratingsmulti‐valued logicoptical computingphase filters

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Area of Science:

  • Photonics and Optical Engineering
  • Computer Engineering
  • Signal Processing

Background:

  • Machine learning advancements highlight the interconnect bottleneck in binary logic computing.
  • Multi-valued logic (MVL) offers a potential solution by increasing information density per interconnect.
  • Current MVL implementations face performance and scalability limitations, especially for radix > 3.

Purpose of the Study:

  • To introduce a novel, scalable, and passive inverter for multi-valued logic (MVL) data signals.
  • To demonstrate a frequency-domain phase-only manipulation technique for MVL signal inversion.
  • To present a universal solution independent of the input signal radix.

Main Methods:

  • Implementation of a passive inverter using an optical fibre Bragg grating.
  • Encoding MVL data signals in amplitude variations of an electromagnetic wave.
  • Frequency-domain phase-only linear manipulation for signal inversion.

Main Results:

  • Experimental demonstration of quaternary, ternary, and binary signal inversion.
  • Operation at a high speed of 32 GBaud.
  • Estimated energy consumption of less than 24 fJ/bit.

Conclusions:

  • The proposed optical inverter is highly scalable and radix-independent, addressing key limitations in current MVL systems.
  • The passive, frequency-domain approach offers a universal solution applicable to various coherent wave systems.
  • This technology promises significant advancements in high-speed, energy-efficient computing and signal processing.