Assessing the Role of Communication in Scalable Multi-Core Quantum Architectures

TL;DR

This paper presents qcomm, a simulation tool for evaluating how communication impacts the performance of scalable multi-core quantum architectures, addressing a key bottleneck in system scalability.

Contribution

Introduction of qcomm, a simulation framework that enables analysis of communication effects in multi-core quantum systems with adjustable parameters.

Findings

Communication parameters significantly influence system performance

Qcomm provides detailed metrics for architectural optimization

Preliminary study highlights critical communication bottlenecks

Abstract

Multi-core quantum architectures offer a solution to the scalability limitations of traditional monolithic designs. However, dividing the system into multiple chips introduces a critical bottleneck: communication between cores. This paper introduces qcomm, a simulation tool designed to assess the impact of communication on the performance of scalable multi-core quantum architectures. Qcomm allows users to adjust various architectural and physical parameters of the system, and outputs various communication metrics. We use qcomm to perform a preliminary study on how these parameters affect communication performance in a multi-core quantum system.