quant-experiments 0.1.0

Quantum computing experiments using Qiskit - Educational quantum algorithms and demonstrations.

Quant Experiments

Educational quantum computing experiments using Qiskit. Learn fundamental quantum algorithms through interactive code examples.

Installation

pip install quant-experiments

What's Included

Experiments

1. coin_toss - Quantum coin toss using superposition with Hadamard gate
2. quantum_entanglement - Create entangled qubits using Bell state
3. bernstein_vazirani - Hidden string algorithm with quantum advantage
4. quantum_teleportation - Teleport quantum state using entanglement
5. deutsch - Determine if function is constant or balanced (1 query!)
6. deutsch_jozsa - Generalized Deutsch with exponential speedup

Usage

List all experiments

import quant

print(quant.list_experiments())

View experiment code

quant.printfile('coin_toss')
quant.printfile('deutsch')

Get detailed explanation

quant.printdetail('quantum_entanglement')

Prints:

• Concept behind the algorithm
• Step-by-step how it works
• Quantum gates used
• Expected output
• Real-world applications
• Complete runnable code

Get raw code

code = quant.get_code('deutsch_jozsa')
print(code)

Quantum Concepts

What is Superposition?

A quantum system can exist in multiple states simultaneously until measured.

What is Entanglement?

Two qubits become correlated such that the state of one instantly affects the other.

What is Quantum Advantage?

Quantum algorithms can solve certain problems exponentially faster than classical algorithms.

Examples

Coin Toss

import quant

quant.printfile('coin_toss')
# Output shows 50-50 distribution of 0s and 1s

Deutsch Algorithm

import quant

quant.printfile('deutsch')
# Determines if function is constant or balanced with 1 query
# Classically needs 2 queries - quantum advantage!

Qiskit Requirements

This package requires:

• qiskit >= 0.43.0 - Quantum programming framework
• qiskit-aer >= 0.13.0 - Quantum simulator

API Reference

list_experiments()

Returns list of available experiment names.

printfile(name)

Prints the Python code for the experiment.

printdetail(name)

Prints detailed explanation with concept, how it works, gates, expected output, and applications.

get_code(name)

Returns the experiment code as a string.

Learning Path

1. Start with coin_toss - Learn superposition
2. Move to quantum_entanglement - Learn Bell states
3. Try deutsch - See quantum advantage
4. Explore quantum_teleportation - Learn quantum communication
5. Finish with deutsch_jozsa - Understand exponential speedup

Real-World Applications

• Quantum Cryptography - Secure key distribution
• Quantum Networks - Distributed quantum computing
• Drug Discovery - Molecular simulation
• Optimization - Financial modeling
• Machine Learning - Quantum data analysis

Educational Use

Perfect for:

• University quantum computing courses
• Self-paced quantum learning
• Research and experimentation
• Building quantum intuition

License

MIT License

Author

Quantum Computing Lab

Contributing

Contributions welcome! Feel free to add more quantum algorithms.

References

• Qiskit Documentation: https://qiskit.org/
• Quantum Computing Reference: https://en.wikipedia.org/wiki/Quantum_computing
• IBM Quantum: https://quantum-computing.ibm.com/