python

paulimer - Paulis, Cliffords and stabilizer simulation

High-performance Pauli operators, Clifford unitaries, and stabilizer simulation for quantum computing.

Installation

pip install paulimer

Quick Start

import paulimer

# Pauli operators
p = paulimer.DensePauli("XYZ")
q = paulimer.SparsePauli("X0 Z100")
print(q * q)  # Identity

# Clifford gates
h = paulimer.CliffordUnitary.from_name("Hadamard", [0], qubit_count=1)
print(h.image_of(paulimer.DensePauli("X")))  # Z

# Stabilizer simulation
sim = paulimer.OutcomeCompleteSimulation(2)
sim.apply_unitary(paulimer.UnitaryOpcode.Hadamard, [0])
sim.apply_unitary(paulimer.UnitaryOpcode.ControlledX, [0, 1])
sim.measure(paulimer.SparsePauli("Z0"))

Features

• DensePauli / SparsePauli - Pauli operators with phase tracking and multiplication
• CliffordUnitary - Clifford gates with conjugation and composition
• PauliGroup - Group operations including membership testing and factorization
• Stabilizer Simulation - Noiseless (OutcomeComplete, OutcomeFree, OutcomeSpecific) and noisy (Faulty) modes

Use Cases

Designed for quantum error correction research, including stabilizer circuit analysis and Clifford circuit verification.

Performance

Built on binar for SIMD-accelerated binary linear algebra.

API Reference

See paulimer.pyi for complete type hints and documentation.

License

MIT License - See LICENSE file for details.

Contributing

Contributions welcome! See github.com/microsoft/qdk-ec for guidelines.