AriQuantum 🌌
A simple quantum computing simulation library with an intuitive interface.
Perfect for students and beginners in quantum computing — no complex dependencies or noise models, just core operations and visualization.
Installation
Requires Python 3.9+ and numpy:
pip install ariquantum
Quick Start
1. Working with individual qubits
from ariquantum.qubit import Qubit
# Create qubits in different initial states
q0 = Qubit('0')
q_plus = Qubit('+')
# Display states in Dirac bra-ket notation
print(q0.as_bracket_string()) # |0⟩
print(q_plus.as_bracket_string()) # 0.70711|0⟩ + 0.70711|1⟩
2. Quantum circuits and visualization
from ariquantum.quantum_register import QuantumRegister
qr = QuantumRegister(2) # 2-qubit register
# Apply gates: H on qubit 0, CX between 0 and 1
qr.h(0)
qr.cx(0, 1)
# Display state and circuit diagram
print(qr.as_bracket_string())
# 0.7071|00⟩ + 0.7071|11⟩
qr.draw_circuit()
# ┌───┐
# q0 : ─│ H │───●─── :
# └───┘ │
# ┌─┴─┐
# q1 : ───────│ X │─ :
# └───┘
3. Measurements
qr.measure(qubits=[0, 1]) # Deferred measurement
print(qr.get_counts(shots=100))
# Example output: {'11': 53, '00': 47}
Key Features
- Flexible control: Manage individual qubits or full quantum registers.
- Circuit visualization: Auto-generated ASCII diagrams of quantum circuits.
- Bra-ket notation: Human-readable state representation (e.g.,
0.7|00⟩ + 0.7|11⟩). - Measurements: Support for deferred execution with customizable shot counts.
Project Structure
ariquantum/
├── __init__.py
├── build_operator.py # Building operators for multi-qubit systems
├── exceptions.py # Quantum-specific error handling
├── helpers.py # Utility functions
├── quantum_register.py # Core: QuantumRegister class for state management
├── qubit.py # Single-qubit operations and state handling
└── visualization.py # State/circuit visualization tools
License
Distributed under the MIT License.
Support
For questions or feedback:
- GitHub Issues
- Email: arimshcherbakov@gmail.com
- Telegram: @ArimShcherbakov
🇷🇺 Русская версия: README_RU.md
Metadata
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