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Spatial-Wavelength Multiplexing Error-Controlled Photonic Analog Computing System.

Tao Zhu1,2, Bowen Zhu1, Shicheng Zhang3

  • 1Pengcheng Laboratory, Shenzhen, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 13, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a flexible silicon photonic chip for analog computing, achieving high processing speeds. This innovation addresses limitations in current systems, enabling advanced applications in signal processing and communications.

Keywords:
microwave photonicsoptical analog computingreliable computingsilicon photonic chip

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Area of Science:

  • Photonics
  • Analog Computing
  • Optical Computing

Background:

  • The "post-Moore era" necessitates new computing paradigms beyond traditional digital methods.
  • Photonic analog computing offers a solution to bottlenecks in conventional accelerators, ideal for high-speed signal processing and 5G/6G RF systems.
  • Current photonic analog computing frameworks lack the flexibility for diverse applications.

Purpose of the Study:

  • To propose a novel silicon photonic chip for flexible, fully optical analog computation.
  • To enhance computational capabilities and address limitations in existing photonic analog computing systems.

Main Methods:

  • A multichannel architecture enabling spatial multiplexing.
  • A parallel array of four reconfigurable microring resonators for wavelength division multiplexed differentiation computing.
  • An FPGA-based error correction algorithm for real-time monitoring and fidelity assurance.

Main Results:

  • Experimental demonstration of solving ordinary differential equations.
  • Successful applications in signal generation, coherent fiber communications, microwave photonics, and image feature detection.
  • Theoretical on-chip processing capacity of a single unit reaching 2.725 tera operations per second across the C-band.

Conclusions:

  • The proposed silicon photonic chip offers a novel hardware framework for flexible photonic analog computing.
  • This work provides innovative directions for advancing optical analog computation.
  • The system demonstrates high processing capacity and broad applicability in various fields.