topological-quantum-compiler 0.1.0

A universal compiler for quantum computers based on topological principles and anyonic braiding

Topological Quantum Compiler (TQC)

The first universal compiler for quantum computers based on topological principles.

TQC moves beyond fragile gate-based quantum operations by compiling quantum algorithms into fault-tolerant braiding operations of anyonic quasiparticles. This revolutionary approach promises inherently stable quantum computation through topological protection.

🌟 Key Features

• Topological Compilation: Translate quantum circuits into anyonic braid operations
• Fault Tolerance: Inherent error protection through topological properties
• Multiple Anyon Types: Support for Fibonacci, Ising, and other anyonic systems
• Advanced Simulation: Efficient tensor network simulation of many-anyon systems
• Optimization: Solovay-Kitaev-style approximation algorithms for braid optimization
• Visualization: Generate beautiful braid diagrams and topological visualizations

🚀 Quick Start

from tqc import TopologicalCompiler, FibonacciAnyons
from qiskit import QuantumCircuit

# Create a simple quantum circuit
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()

# Compile to topological braids
compiler = TopologicalCompiler(anyon_type=FibonacciAnyons())
braid_program = compiler.compile(qc)

# Simulate the braided computation
result = braid_program.simulate(shots=1000)
print(f"Measurement results: {result.counts}")

# Visualize the braid
braid_program.visualize_braid(output="bell_state_braid.svg")

📦 Installation

# Via pip
pip install topological-quantum-compiler

# Via poetry
poetry add topological-quantum-compiler

# Development installation
git clone https://github.com/krish567366/TQC.git
cd TQC
poetry install

🔬 What Makes TQC Revolutionary

Traditional quantum computers suffer from:

• Fragile qubits sensitive to environmental noise
• High error rates requiring extensive error correction
• Limited coherence times constraining algorithm complexity

TQC solves these problems by encoding quantum information in the topological properties of anyonic braids, which are:

• Naturally fault-tolerant - protected by energy gaps
• Stable against local perturbations - only global changes affect computation
• Scalable - complexity grows polynomially with system size

📚 Documentation

• Installation Guide
• Quick Start Tutorial
• API Reference
• Advanced Examples

🎯 Example Applications

# VQE with topological compilation
from tqc.algorithms import TopologicalVQE
from tqc.chemistry import H2Molecule

molecule = H2Molecule(bond_length=0.74)
vqe = TopologicalVQE(molecule, anyon_type="fibonacci")
energy = vqe.run()

# Quantum machine learning with anyonic features
from tqc.ml import AnyonicFeatureMap

feature_map = AnyonicFeatureMap(n_qubits=4, anyon_type="ising")
quantum_kernel = feature_map.to_kernel()

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Created by Krishna Bajpai ([e-mail])
• Based on groundbreaking research in topological quantum computation
• Inspired by the work of Kitaev, Freedman, and other pioneers in the field
• Built on the shoulders of excellent libraries like Qiskit, JAX, and NumPy

📞 Support

• 📖 Documentation
• 🐛 Issue Tracker
• 💬 Discussions
• 📧 Contact: Krishna Bajpai [e-mail]

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"The future of quantum computing is topological." - Krishna Bajpai, TQC Creator