This code base is uv compatible and pip installable.
Anil Radhakrishnan, Sudeshna Sinha, K. Murali ,William L. Ditto
- A gradient-based optimization framework for tuning chaotic systems to match predefined logic gate behavior.
- Extension of the framework to show simultaneous optimization of multiple logic gates for logic circuits like the half-adder.
- A demonstration and comparison of the reconfigurability of chaogates across nonlinear map configurations, showing the efficacy of using the same nonlinear system to perform multiple gate operations through parameter tuning
We recommend using uv to manage python and install the package.
Then, you can simply git clone the repository and run,
uv pip install .to install the package with all dependencies.
The notebooks in the nbs illustrate different extensions and tests of the chaogates framework.
The scripts in the scripts directory are the same as the Diff_chao_config notebooks but with argparsing for easy command line usage for use in batch processing.
To run the scripts, you can use the uv run command to run the scripts in the scripts directory.
The bash scripts in the scripts directory can be used to run the scripts in batch mode.
The analysis of the statistical run results can be done using the analysis amd plotter notebooks in the nbs directory.