Quantum computing has the potential to offer substantial computational advantages over conventional computing. Recent advances in quantum computing hardware and algorithms have enabled a class of classically parallel quantum workloads, whereby individual quantum circuits can execute independently on many quantum processing units. Here, we present the full-stack software framework developed at Quantum Brilliance to enable multi-modal parallelism for hybrid quantum workloads. Our software provides the capability to distribute quantum workloads across multiple quantum accelerators hosted by nodes of a locally-networked cluster, via the industry-standard MPI (Message Passing Interface) protocol, or to distribute workloads across a large number of cloud-hosted quantum accelerators.
@article{arxiv.2211.13355,
title = {Software for Massively Parallel Quantum Computing},
author = {Thien Nguyen and Daanish Arya and Marcus Doherty and Nils Herrmann and Johannes Kuhlmann and Florian Preis and Pat Scott and Simon Yin},
journal= {arXiv preprint arXiv:2211.13355},
year = {2022}
}