QuantumNeuroChaOSys.js

About the Library

The QuantumNeuroChaOSys.js library provides the ability to model quantum neural networks, combining elements of quantum chaos and randomness. It is designed to solve tasks in the fields of data analysis, artificial intelligence, quantum computing, and other scientific areas. Thanks to its unique approach, the library can be used for:

  • Prediction under uncertainty
  • Modeling complex systems
  • Development of artificial intelligence and machine learning
  • Research of chaos and quantum processes

However, nothing prevents you from using this library to create interesting animations (like the background animation on this site) or even in games, where modeling random or chaotic processes is important.

Usage

To use the library, include it in your project and call the main function QuantumNeuroChaos.process(). This function accepts input data and a set of parameters for processing.

QuantumNeuroChaos.process(input, options);

Where:

  • input — the data to be processed. This can be a string, number, array, or object. Inside the library, the data is automatically converted to a string for further processing.
  • options — an optional object with settings. If no parameters are provided, default values are used.

Example of calling the function:

// Example usage of the library
const result = QuantumNeuroChaos.process("Sample data", {
    numNodes: 10,
    iterations: 7,
    dimensions: 5,
    randomize: true,
    feedback: 0.1
});
console.log(result); // Final computed value

Download the Library

To download the archive with the library, documentation, and usage examples, click the link below:

Download the library archive (.zip, 320 Kb) - Version 0.2.03