Ising Machine Based on Nonlinear Polarization Oscillators

Ising machines (IMs) based on nonlinear optical oscillators are promising as ultrafast optimization hardware. However, due to amplitude inhomogeneity and trapping in local minima, current coherent IMs suffer from limited ground-state accuracy and poor scaling. Intense research efforts aim at improving their performance by introducing new paradigms such as IMs based on networks of high-dimensional oscillators [1].

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Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11111171
Primary Topic
Neural Networks and Reservoir Computing
Type
article
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article

Ising Machine Based on Nonlinear Polarization Oscillators

Salvatore Chiavazzo, Claudio Conti, Davide Pierangeli, Marcello Calvanese Strinati
Neural Networks and Reservoir Computing
article

Ising Machine Based on Nonlinear Polarization Oscillators

Salvatore Chiavazzo, Claudio Conti, Davide Pierangeli, Marcello Calvanese Strinati
article en

Abstract

Ising machines (IMs) based on nonlinear optical oscillators are promising as ultrafast optimization hardware. However, due to amplitude inhomogeneity and trapping in local minima, current coherent IMs suffer from limited ground-state accuracy and poor scaling. Intense research efforts aim at improving their performance by introducing new paradigms such as IMs based on networks of high-dimensional oscillators [1].

Centro Ricerche Enrico Fermi (IT), Institute for Complex Systems (IT), Sapienza University of Rome (IT)
Affordable and clean energy
Openalex Percentile: Top 89%
Neural Networks and Reservoir Computing
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