fusion-qec-sim

Creative quantum error correction, DNA analysis, 3D cube visualization, and AI-powered IRC bot—open, modular, and minimal.

New: AI-Powered IRC Bot

The fusion-qec-sim project now includes a fully-featured IRC bot that combines:

• QuTiP-based Steane Code Simulations: [[7,1,3]] code with depolarizing noise, pseudo-threshold calculations (η_thr ≈ 9.3×10^{-5})
• MIDI Export: Convert simulation data to music (error rates → tempo, eigenvalues → velocities, logical errors → e-minor arpeggios)
• LLM Integration: Conversational AI for code generation, simulation explanation, and chat moderation
• IRC Protocol: Real-time Q&A and code review in IRC channels

Quick Start

# Install dependencies
pip install -r requirements.txt

# Run in demo mode (no IRC connection)
python run_bot.py --demo

# Connect to IRC server
export IRC_SERVER=irc.libera.chat
export IRC_CHANNEL=#qec-sim
python run_bot.py

Available Commands

• !runsim [error_rate] - Run Steane code simulation
• !threshold - Display pseudo-threshold
• !ai <question> - Ask AI about QEC concepts
• !export [type] - Export simulation to MIDI
• !note <note> - Play MIDI note (C3-G5)

See docs/IRC_BOT_GUIDE.md for complete documentation.

Examples

# Run complete demo
python examples/qec_demo_full.py

# Run individual modules
python src/qec_steane.py        # QEC simulations
python src/midi_export.py       # MIDI export
python src/llm_integration.py   # LLM features

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New: Rust Implementation in XML

High-performance Rust implementation of the QEC algorithms is now available in XML format at rust_qec_implementation.xml.

Features

• Complete Steane [[7,1,3]] Code: Full implementation matching Python version
• Threshold Simulation: Monte Carlo scanning with optimized performance
• Surface Code Lattice: 2D syndrome generation and visualization
• 10-100x Faster: Native compilation with zero-cost abstractions
• Type Safety: Compile-time guarantees and memory safety
• Easy Integration: Can be used via PyO3, CLI, or FFI

What's in the XML?

The XML file contains:

• Complete Rust source code for all QEC modules
• Cargo.toml configuration with dependencies
• Unit tests for each component
• Build instructions and usage examples
• Performance notes and integration guides
• Comparison with Python implementation

Quick Start (Rust)

# Extract and build (requires Rust toolchain)
# 1. Create new Cargo project
cargo new qec_steane --lib

# 2. Extract code from rust_qec_implementation.xml
# 3. Copy dependencies to Cargo.toml
# 4. Place module code in src/

# Build and test
cargo build --release
cargo test

# Run demo
cargo run --bin demo

Integration with Python

The Rust implementation can be integrated with the Python IRC bot in several ways:

1. PyO3 Bindings: Create Python module with native performance
2. CLI Tool: Call Rust binary from subprocess
3. FFI: Use as C-compatible shared library

See rust_qec_implementation.xml for detailed integration instructions.

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Original Features

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