Sparse Random Signals for Fast Convergence on Invertible Logic

This paper introduces sparse random signals for fast convergence on invertible logic. Invertible logic based on a network of probabilistic nodes (spins), similar to a Boltzmann machine, can compute functions bidirectionally by reducing the network energy to the global minimum with the addition of ra...

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Bibliographic Details
Main Authors: Naoya Onizawa, Makoto Kato, Hitoshi Yamagata, Koji Yano, Seiichi Shin, Hiroyuki Fujita, Takahiro Hanyu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9399449/