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18 June 2024 Temporal simulations of a network of degenerate optical parametric oscillators for solving combinatorial optimization problems
Menglong He, Kambiz Jamshidi
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Proceedings Volume 13017, Machine Learning in Photonics; 1301712 (2024) https://doi.org/10.1117/12.3018351
Event: SPIE Photonics Europe, 2024, Strasbourg, France
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Abstract
We numerically investigate a network of coupled dual-pumped degenerate optical parametric oscillators (DOPOs) with 16 spins built by Kerr microresonators for on-chip coherent Ising machines (CIMs). As a first step, the optical parametric gain in a phase-sensitive amplifier above the oscillation threshold in the silicon nitride cavity is optimized. We aim to emulate a spin glass represented by the bi-phase states with a π offset during the phase bifurcation of DOPOs. As a result, we achieve the extinction ratio of the phase-sensitive gain over 30dB with pump power as 10 dBm and detuning as 302MHz. Besides, the spatially multiplexed spins are then simulated to search for the ground state of the hexadecagon system mapping to feedback. We also study the time evolution of spins. To this end, with three different levels of initial magnetizations, we have obtained an annealing time of up to 45ns for anti-ferromagnetic and a time of up to 80ns for ferromagnetic coupling. Notably, the dynamic behavior of the integrated Ising spins for searching minimal Hamiltonian is investigated.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Menglong He and Kambiz Jamshidi "Temporal simulations of a network of degenerate optical parametric oscillators for solving combinatorial optimization problems", Proc. SPIE 13017, Machine Learning in Photonics, 1301712 (18 June 2024); https://doi.org/10.1117/12.3018351
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KEYWORDS
Silicon nitride
Optical parametric oscillators
Microresonators
Nonlinear optics
Optical computing
Photonic quantum computing
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