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All-optical scalable and programmable VCSEL-based Ising annealer with parallel feedback.

Dewen Zhang, Zifeng Yuan, Thanh Xuan Hoang

    Optics Express
    |June 14, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an all-optical Ising machine using VCSELs and SLMs to solve complex optimization problems. Simulations show potential for solving 16-bit MAXCUT problems, demonstrating a key step towards faster computation.

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    Area of Science:

    • Photonics and Optical Computing
    • Computational Science
    • Nanotechnology

    Background:

    • Ising machines offer a novel approach to combinatorial optimization.
    • Existing electrical bottlenecks limit the scalability of current computational methods.
    • All-optical computation promises significant speed and efficiency gains.

    Purpose of the Study:

    • To propose and demonstrate an all-optical parallel feedback system for an Ising machine.
    • To overcome electrical bottlenecks in computation using photonics.
    • To analyze the system's capability in solving combinatorial optimization problems.

    Main Methods:

    • Utilizing mutual injection locking of vertical-cavity surface-emitting lasers (VCSELs).
    • Employing programmable spatial light modulators (SLMs) for optical control.
    • Simulating a 16-bit square-lattice MAXCUT optimization problem.
    • Experimentally demonstrating optical injection lock and polarization switching in VCSELs.

    Main Results:

    • Successful simulation of a 16-bit MAXCUT problem using the proposed optical Ising machine.
    • Experimental proof-of-concept for optical injection locking between master and slave VCSELs.
    • Achieved polarization switching with minimal master VCSEL injection power (<1%).

    Conclusions:

    • The proposed all-optical system effectively addresses computational bottlenecks.
    • The technology demonstrates feasibility for solving complex optimization tasks.
    • Future integration with nanophotonic devices like metasurface-enabled SLMs and VCSELs will enhance scalability and programmability.