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Optical Computing Approach Offers Ultrafast Processing

Aalto

Insider Brief

  • Aalto University have developed optical chirality logic gates that may be able to operate about a million times faster than existing technologies.
  • The new approach uses circularly polarized light as the input signal.
  • The chirality logic gate could be controlled and configured electronically.
  • Image: Yi Zhang / Aalto University

UNIVERSITY NEWS RELEASE — Logic gates are the fundamental components of computer processors. Conventional logic gates are electronic – they work by shuffling around electrons – but scientists have been developing light-based optical logic gates to meet the data processing and transfer demands of next-generation computing.

Now, researchers at Aalto University have developed optical chirality logic gates that may be able to operate about a million times faster than existing technologies, offering ultrafast processing speeds.

The new approach uses circularly polarized light as the input signal. The logic gates are made from crystalline materials that are sensitive to the handedness of a circularly polarized light beam – that is, the light emitted by the crystal depends on the handedness of the input beams. This serves as the basic building block for one type of logic gate (XNOR), and the remaining types of logic gates are built by adding filters or other optical components.

The team also showed that a single device could contain all of their chirality logic gates operating simultaneously in parallel. This is a significant advance over existing logic gates, which can only carry out a single logic operation at a time. Simultaneous parallel logic gates could be used to build complex, multifunctional logic circuits.

Finally, the team demonstrated that the chirality logic gate could be controlled and configured electronically, a necessary step for hybrid electrical/optical computing.

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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