Improved Sparse Ising Optimization
Published in arXiv (Cornell University) • Nov 15, 2023
NobleIDNI8P74W52R79S53
Authors:
Kenneth M. Zick
Abstract
Sparse Ising problems can be found in application areas such as logistics, condensed matter physics and training of deep Boltzmann networks, but can be very difficult to tackle with high efficiency and accuracy. This report presents new data demonstrating significantly higher performance on some lon...
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