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Amplitude-Controlled Electromagnetic Pulse Switching Using Waveguide Junctions for High-Speed Computing Processes

Lookup NU author(s): Ross Macdonald, Professor Alex Yakovlev, Dr Victor Pacheco PenaORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Performing computational tasks with wave-based devices is becoming a ground-breaking paradigm that can open new opportunities for the next generation of efficient analogue/digital computing systems. Decision-making process for switching and routing of signals is fundamental for computing as it enables the transfer of information from one to many (or single) blocks within a system. Herein, a technique is proposed for the design of pulse-based switching devices for the computing of fundamental decision-making processes. Information is encoded from multiple channels as transverse electromagnetic (TEM) pulses of varying amplitudes and polarities propagating through interconnected parallel plate waveguides modelled as simple transmission lines. An in-depth description of the technique is presented showing how switching and routing of information can be engineered by exploiting the linear splitting and superposition of multiple pulses traveling through waveguide junctions. To demonstrate the potential of the technique, two devices are developed: a comparator which can calculate the largest value between two real-valued numbers and a pulse director which exploits the reciprocity of waveguide junctions to create a similar yet different performance of a traditional AND gate (emulating its performance via the analogue linear system). These findings may open new pathways for high-speed electromagnetic pulse-based computing systems.

Publication metadata

Author(s): MacDonald RG, Yakovlev A, Pacheco-Peña V

Publication type: Article

Publication status: Published

Journal: Advanced Intelligent Systems

Year: 2022

Volume: 4

Issue: 12

Print publication date: 22/12/2022

Online publication date: 06/11/2022

Acceptance date: 01/10/2022

Date deposited: 09/11/2022

ISSN (electronic): 2640-4567

Publisher: Wiley-VCH Verlag GmbH & Co.


DOI: 10.1002/aisy.202200137


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Funder referenceFunder name
Leverhulme Trust
Research Fellowship NURF