Software for Massively Parallel Quantum Computing

TL;DR

This paper introduces a comprehensive software framework that enables massively parallel quantum computing by distributing workloads across multiple quantum processors locally and in the cloud, leveraging industry-standard protocols.

Contribution

It presents a full-stack software solution for parallel quantum workloads, integrating multi-modal distribution across local clusters and cloud environments.

Findings

Enables distribution of quantum workloads across multiple quantum accelerators.

Supports both local networked clusters and cloud-based quantum resources.

Uses MPI protocol for efficient workload management.

Abstract

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.