Adaptive Entropy Control Architecture for Thermodynamic Optimization of Computational Processes
Abstract
This paper proposes an adaptive entropy control architecture that unifies reversible computation and stochastic annealing to optimize computational processes thermodynamically. By dynamically switching between low-entropy deterministic processing and high-entropy exploratory search, the system minimizes energy dissipation while maintaining high optimization performance.
Fields of Study & Subjects
Advanced Thermodynamics and Statistical Mechanics
Quantum-Dot Cellular Automata
Energy Efficiency in Computing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Thesis