Towards Analog Reverse Time Computation
O. Habibi, U.R. Patihnedj, M.O. Dhar

TL;DR
This paper explores the potential of analog reverse time computation by analyzing destabilization effects on a simulated analog computer, highlighting its advantages over traditional methods and proposing new computational capabilities.
Contribution
It introduces the concept of analog reverse time computation and demonstrates how destabilization processes can enable higher computational classes in analog systems.
Findings
Destabilization impacts on simulated analog computers analyzed.
Analog bias can encode complex algorithms beyond polynomial.
Potential for higher computational classes via countermeasures of stochastic degeneracy.
Abstract
We report the consequences of a destabilization process on a simulated General Purpose Analog Computer. This new technology overcomes problems linked with serial ambiguity, and provides an analog bias to encode algorithms whose complexity is over polynomial. We also implicitly demonstrate how countermesures of the Stochastic Aperture Degeneracy could efficiently reach higher computational classes, and would open a road towards Analog Reverse Time Computation.
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Taxonomy
TopicsError Correcting Code Techniques · Neural Networks and Reservoir Computing · Neural Networks and Applications
