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Updated: Jun 19, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

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Published on: April 1, 2020

Negative binary arithmetic algorithms for digital parallel optical computation.

G Li, L Liu, L Shao

    Optics Letters
    |October 27, 2009
    PubMed
    Summary
    This summary is machine-generated.

    A novel algorithm for complex number multiplication using a negative binary system eliminates the need for signs, carries, and recoding. This method is optimized for optical implementation, enabling efficient parallel processing.

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    Quasi-light Storage for Optical Data Packets
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    Published on: April 1, 2020

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    Area of Science:

    • Computer Science
    • Optical Computing
    • Digital Arithmetic

    Background:

    • Complex number multiplication is fundamental in various scientific and engineering fields.
    • Existing methods often involve sign handling, carry propagation, and recoding, which can be computationally intensive.
    • Optical implementations offer potential for high-speed parallel processing.

    Purpose of the Study:

    • To propose a new algorithm for complex number multiplication.
    • To perform complex multiplication without relying on signs, carries, or recoding.
    • To facilitate optical implementation of the proposed algorithm.

    Main Methods:

    • Utilizing a negative binary number system.
    • Employing weighted-shifted addition.
    • Implementing parallel-array multiplication and a two-stage-array complex operation.

    Main Results:

    • Successfully performed complex multiplication without signs, carries, and recoding.
    • Demonstrated the algorithm's suitability for optical implementation.
    • Presented an optical parallel architecture and experimental results.

    Conclusions:

    • The proposed algorithm offers an efficient approach to complex number multiplication.
    • The algorithm's design is well-suited for high-speed optical computing.
    • Experimental validation confirms the feasibility of the optical implementation.