Quantum Coin Flip Simulation

Overview

This Python project demonstrates the difference between quantum and classical coin flipping using Qiskit, a quantum computing library. It provides a fascinating comparison between quantum probabilistic behavior and classical random number generation.

Features

• Quantum coin flip simulation using Qiskit
• Classical coin flip simulation using Python's random module
• Comparative visualization of results
• Probability analysis of coin flip outcomes

Prerequisites

• Python 3.7+
• Qiskit
• Qiskit-aer
• Matplotlib

Installation

1. Clone the repository:

git clone https://github.com/aditya19200/quantum-coin-flip.git

2. Install required dependencies:

pip install qiskit qiskit-aer matplotlib

How It Works

The script does two things:

1. Performs a quantum coin flip using a Hadamard gate to create a superposition
2. Performs a classical coin flip using Python's random number generator

It then compares and visualizes the results, showing the probabilistic nature of quantum systems.

Running the Script

python quantum_coin_flip.py

Key Quantum Mechanics Concept

The Hadamard gate used in this simulation puts a qubit into an equal superposition of |0⟩ and |1⟩ states, analogous to a coin spinning in the air before landing.

Visualization

The script generates two types of plots:

• Histogram of quantum coin flip results
• Histogram of classical coin flip results
• Comparative bar graph of both methods

Contributing

Contributions, issues, and feature requests are welcome! Feel free to check issues page.

License

MIT

Contact

• Your Name - aditya19200
• Project Link: https://github.com/aditya19200/quantum-coin-flip #screenshots