Self-Adaptive Gate Control for Efficient Escape From Local Minimum Energy on Invertible Logic

Self-Adaptive Gate Control for Efficient Escape From Local Minimum Energy on Invertible Logic

Invertible logic can realize bidirectional operations of a function represented by a Hamiltonian (energy) with noise and can be applied for integer factorization and training neural networks. However, the computation error is not negligible due to becoming trapped at the local minimum energy when th...

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Bibliographic Details
Main Authors: Naoya Onizawa, Koji Yano, Seiichi Shin, Hiroyuki Fujita, Takahiro Hanyu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Stochastic computing
Boltzmann machine
bidirectional operations
Ising model
Online Access:https://ieeexplore.ieee.org/document/10114800/

Internet

https://ieeexplore.ieee.org/document/10114800/

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