Equalized Hyperspin Machine
Marcello Calvanese Strinati, Claudio Conti

TL;DR
This paper introduces a method to enforce equal amplitudes in hyperspin machines, enhancing their ability to simulate spin models more accurately and reliably, especially for large-scale optimization problems.
Contribution
We propose an equalization mechanism using an additional oscillator network to improve hyperspin machine performance and robustness.
Findings
Achieves lower spin energy states in simulations.
Reduces sensitivity to system parameter variations.
Scales effectively to 10,000 hyperspins.
Abstract
The reliable simulation of spin models is of critical importance to tackle complex optimization problems that are intractable on conventional computing machines. The recently introduced hyperspin machine, which is a network of linearly and nonlinearly coupled parametric oscillators, provides a versatile simulator of general classical vector spin models in arbitrary dimension, finding the minimum of the simulated spin Hamiltonian and implementing novel annealing algorithms. In the hyperspin machine, oscillators evolve in time minimizing a cost function that must resemble the desired spin Hamiltonian in order for the system to reliably simulate the target spin model. This condition is met if the hyperspin amplitudes are equal in the steady state. Currently, no mechanism to enforce equal amplitudes exists. Here, we bridge this gap and introduce a method to simulate the hyperspin machine…
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Taxonomy
TopicsElectrospun Nanofibers in Biomedical Applications · Silk-based biomaterials and applications
