pyqsim 0.0.3

High-Level Quantum Computing Simulation in Python

pyqsim: High-Level Quantum Computing Simulation in Python

pyqsim is a Python library designed to simplify quantum computing simulation through high-level abstractions. It aims to make quantum programming more accessible and intuitive, bridging the gap between classical and quantum computing paradigms.

Features

• High-Level Abstraction: Move beyond low-level circuit and qubit manipulations to a more intuitive programming model.
• Automatic Inverse Operations: Objects automatically perform inverse operations upon deletion, maintaining quantum state consistency.
• Familiar Programming Model: Use quantum data types similarly to classical types like int, making the transition to quantum computing smoother for classical programmers.
• Eager Execution: Computations are performed immediately as Python functions are called, allowing for real-time interaction and debugging.
• Quantum-Classical Hybrid Programming: Seamlessly mix quantum operations with classical programming constructs.

Installation

pip install pyqsim

Quick Start

Here's a simple example implementing Deutsch's algorithm:

import pyqsim
from pyqsim.gates import h, z

def oracle(x): return x  # Constant function

a = pyqsim.types.qint1_t()
z(oracle(h(a)))
result = pyqsim.gates.measure(a)
print("Constant" if result == 0 else "Balanced")

Advanced Usage

Check out the examples/ directory for more complex quantum algorithms implementations, including Grover's search algorithm.

Contributing

We welcome contributions! Please see our Contributing Guidelines for more details.

License

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

Contact

For any queries or support, please open an issue on our GitHub repository or contact me at [e-mail].