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Getting Started with QuantumLangChain

Welcome to QuantumLangChain! This guide will help you get up and running with the world's most advanced hybrid quantum-classical AI framework.

Installation

Prerequisites

  • Python 3.8 or higher
  • pip package manager
  • Optional: GPU support for enhanced performance
pip install quantumlangchain

Install from Source

git clone https://github.com/krishna-bajpai/quantumlangchain.git
cd quantumlangchain
pip install -e .

Development Installation

git clone https://github.com/krishna-bajpai/quantumlangchain.git
cd quantumlangchain
pip install -e ".[dev]"

Dependencies

QuantumLangChain automatically installs the core dependencies:

Quantum Computing Backends

  • Qiskit - IBM's quantum computing framework
  • PennyLane - Xanadu's quantum machine learning library
  • Amazon Braket SDK - AWS quantum computing service

AI/ML Libraries

  • LangChain - Base chain and agent framework
  • transformers - Hugging Face transformers
  • torch - PyTorch for neural networks
  • numpy - Numerical computing

Vector Stores

  • ChromaDB - Vector database for embeddings
  • FAISS - Facebook AI Similarity Search
  • Sentence Transformers - Text embeddings

Optional Dependencies

For enhanced functionality, install optional packages:

# Quantum hardware support
pip install qiskit-ibm-runtime qiskit-aer

# Advanced ML capabilities
pip install datasets gymnasium

# Visualization
pip install matplotlib plotly

# Development tools
pip install pytest black flake8 mypy

Quick Verification

Test your installation:

import quantumlangchain as qlc

# Check version
print(f"QuantumLangChain version: {qlc.__version__}")

# Test quantum backend
from quantumlangchain.backends import QiskitBackend
backend = QiskitBackend()
print(f"Quantum backend ready: {backend.get_backend_info()}")

Next Steps

Getting Help

System Requirements

Minimum Requirements

  • CPU: 2+ cores
  • RAM: 4GB
  • Storage: 1GB free space
  • Python: 3.8+
  • CPU: 4+ cores (Intel/AMD x64 or Apple Silicon)
  • RAM: 8GB+ (16GB for large quantum simulations)
  • GPU: CUDA-compatible for accelerated computing
  • Storage: 5GB+ SSD storage
  • Network: Stable internet for quantum cloud access

Supported Platforms

  • ✅ Linux (Ubuntu 20.04+, CentOS 8+)
  • ✅ macOS (10.15+, including Apple Silicon)
  • ✅ Windows (10/11, WSL2 recommended)
  • ✅ Docker containers
  • ✅ Google Colab and Jupyter environments

License

QuantumLangChain is open source software licensed under the MIT License.