Bitmatrix-Spatial-Computing

BitMatrix Spatial Computing (BSC) is a groundbreaking framework that redefines traditional computational paradigms by introducing multidimensional data representation and processing. Unlike conventional binary systems, BitMatrix encodes information through spatial relationships, shapes, colors, perspectives, and temporal patterns, resulting in significantly increased information density and computational flexibility.

Note: I have used ai to develop this project including parts of the website so apologies if it has hicups along the way. This is all experimental.

Overview

BitMatrix Spatial Computing consists of three integrated components:

3D/4D Computational Architecture: This architecture forms the foundation of BitMatrix, enabling the representation of data in three or four dimensions. Each "bit" is transformed into a complex data structure with properties extending beyond simple binary values.
Oen Agent System with Expandable Toolkit: Serving as the operational layer, this system leverages the multidimensional architecture through specialized algorithms and adaptive behaviors, facilitating efficient data processing and analysis.
5D Kinetic Transform Arithmetic (KTA): Extending the mathematical framework of BitMatrix, KTA enables operations inspired by quantum computing principles without the need for specialized quantum hardware.

Features

Enhanced Data Compression: By utilizing multidimensional encoding, BitMatrix achieves higher information density, leading to more efficient data storage.
Advanced Error Correction: The spatial relationships within the BitMatrix architecture allow for more robust error detection and correction mechanisms.
Improved Pattern Recognition: Leveraging complex data structures and spatial encoding enhances the system's ability to recognize and interpret patterns within data.
Quantum-Inspired Computing: Implements virtual representations of quantum-inspired operations such as superposition and entanglement without requiring specialized hardware.
Lightweight Implementation: Designed to be efficient and performant even on modest hardware.

Installation

Requirements

Python 3.6 or higher
NumPy

Install from PyPI

pip install bitmatrix-spatial-computing

Install from Source

git clone https://github.com/yourusername/bitmatrix-spatial-computing.git
cd bitmatrix-spatial-computing
pip install -e .

Quick Start

Basic Usage

import bsc

# Create a 3D bitfield
bitfield = bsc.BitField3D(8, 8, 4)

# Set some bits
bitfield.setBit(0, 0, 0, 1)
bitfield.setBit(7, 7, 3, 1)

# Set properties
bitfield.setProperty(0, 0, 0, "color", "red")

# Visualize the bitfield
print(bsc.visualize3D(bitfield))

# Apply a transformation
rotated = bsc.rotate3D(bitfield, 'z', 90)
print(bsc.visualize3D(rotated))

Generate Patterns

import bsc

# Generate a cube pattern
cube = bsc.generatePattern('cube', (8, 8, 4))
print(bsc.visualize3D(cube))

# Generate a 4D wave pattern
wave = bsc.generatePattern('wave', (8, 8, 4, 2))
print(bsc.visualize4D(wave))

Apply KTA Operations

import bsc

# Create two bitfields
bitfield_a = bsc.generatePattern('cube', (8, 8, 4))
bitfield_b = bsc.generatePattern('sphere', (8, 8, 4))

# Create a superposition
superposition = bsc.superposition(bitfield_a, bitfield_b)
print(bsc.visualize3D(superposition))

# Apply a kinetic transform
transformed = bsc.applyKineticTransform(bitfield_a, 'wave')
print(bsc.visualize3D(transformed))

Command-Line Interface

BitMatrix Spatial Computing includes a command-line interface for quick experimentation:

# Create a 3D bitfield with a cube pattern
python -m bsc.cli create 8 8 4 --pattern cube --visualize

# Apply a rotation transformation
python -m bsc.cli transform rotate --axis z --angle 90

# Generate a pattern
python -m bsc.cli pattern wave 8 8 4

# Animate a transformation
python -m bsc.cli animate --pattern-type cube --frames 5

Web Demo

A simple web demo is included in the examples/web_demo directory. To run it:

cd examples/web_demo
python -m http.server

Then open your browser to http://localhost:8000 to interact with the demo.

Documentation

For more detailed documentation, see:

Examples

Check out the examples directory for more usage examples:

examples/basic_usage.py: Simple examples of creating and manipulating bitfields
examples/represent_spatial_data.py: Examples of representing spatial data
examples/simulate_process.py: Examples of simulating processes
examples/cli.py: Command-line interface implementation
examples/web_demo/: Web-based demo application

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details. I wish for this project to be used and distrubited as much as possible.

Acknowledgments

Created by Euan Craig (DigitalEuan.com) New Zealand 2025
BitMatrix Spatial Computing is 100% free for use to all

Learn More

Visit DigitalEuan.com for more information about BitMatrix Spatial Computing.