A distributed simulation framework for quantum networks and channels

TL;DR

SQUANCH is an open-source Python framework designed for efficient, parallelized simulation of quantum networks, enabling complex multi-party quantum protocol modeling with noise and performance optimizations.

Contribution

The paper introduces SQUANCH, a novel, open-source simulation framework specifically optimized for quantum network and channel simulations, with extensible features and performance enhancements.

Findings

Successfully simulated quantum information protocols

Demonstrated modeling of noisy quantum channels

Showcased multi-party quantum network design capabilities

Abstract

We introduce the Simulator for Quantum Networks and Channels ($\texttt{SQUANCH}$), an open-source Python library for creating parallelized simulations of distributed quantum information processing. The framework includes many features of a general-purpose quantum computing simulator, but it is optimized specifically for simulating quantum networks. It includes functionality to allow users to easily design complex multi-party quantum networks, extensible classes for modeling noisy quantum channels, and a multiprocessed NumPy backend for performant simulations. We present an overview of the structure of the library, describing how the various API elements represent the underlying physics and providing simple usage examples for each module. Finally, we present several demonstrations of canonical quantum information protocols implemented using this framework.