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.
1 maintainer
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