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Scaling01:26

Scaling

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
298

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Enabling scalable optical computing in synthetic frequency dimension using integrated cavity acousto-optics.

Han Zhao1, Bingzhao Li2, Huan Li2

  • 1Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA. hzhao89@uw.edu.

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|September 15, 2022
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Summary
This summary is machine-generated.

Researchers developed a novel silicon nanophotonic modulator for optical computing. This technology enables large-scale matrix-vector multiplications using synthetic dimensions, overcoming integration density limits for efficient, compact computing systems.

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Area of Science:

  • Photonics
  • Optical Computing
  • Materials Science

Background:

  • Integrated photonics offers a paradigm shift for data-intensive computing.
  • Scaling on-chip photonic architectures is limited by integration density.
  • Synthetic dimensions provide a method to extend operand vectors within photonic components.

Purpose of the Study:

  • To demonstrate large-scale, complex-valued matrix-vector multiplications using synthetic dimensions.
  • To utilize a silicon-based nanophotonic cavity acousto-optic modulator for this purpose.
  • To overcome the scaling limitations of current on-chip photonic architectures.

Main Methods:

  • Harnessing resonantly enhanced strong electro-optomechanical coupling in a silicon nanophotonic cavity acousto-optic modulator.
  • Performing full-range phase-coherent frequency conversions across a synthetic frequency lattice.
  • Implementing a fully connected linear computing layer within a single modulator.

Main Results:

  • Achieved large-scale, complex-valued matrix-vector multiplications on synthetic frequency lattices.
  • Demonstrated ultra-efficient operation using a silicon-based nanophotonic device.
  • Showcased the capability for full-range phase-coherent frequency conversions.

Conclusions:

  • The developed modulator enables large-scale matrix-vector multiplication in the frequency domain.
  • This approach overcomes integration density limitations in photonic computing.
  • Opens a route toward experimental realization of compact, high-performance optical computing systems.