fast-pauli 0.0.28

fast pauli

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Introduction

Welcome to fast-pauli from Qognitive, an open-source Python / C++ library for optimized operations on Pauli matrices and Pauli strings, inspired by PauliComposer paper. fast-pauli aims to provide a fast and efficient alternative to existing libraries for working with Pauli matrices and strings, with a focus on performance and usability. For example, fast-pauli provides optimized functions to apply Pauli strings and operators to a batch of states rather than just a single state vector. See our benchmarks for more details about how fast-pauli can speed up certain functions compared to Qiskit.

Our Getting Started guide offers an introduction to some of the core functionality in fast-pauli.

Installation

Pre-built Binaries

pip install fast_pauli

From Source

There are two strategies for building fast_pauli from source. One is a quick and easy method that uses all the default configuration settings. The other is a more configurable method that involves invoking CMake, pip, pytest, and other tools directly.

Requirements

• CMake >= 3.25
• Ninja >= 1.11
• C++ compiler with OpenMP and C++20 support (LLVM recommended)
• Python >= 3.10

Quick Start (Users)

python -m pip install -e ".[dev]"
pytest -v tests/fast_pauli

Configurable Build (Developers)

python -m pip install --upgrade pip
python -m pip install scikit-build-core
python -m pip install --no-build-isolation -ve ".[dev]" -C cmake.args="-DCMAKE_CXX_COMPILER=<compiler> + <other cmake flags>"
pytest -v tests/fast_pauli # + other pytest flags

Compiled _fast_pauli python module gets installed into fast_pauli directory.