Current monolithic quantum computer architectures have limited scalability. One promising approach for scaling them up is to use a modular or multi-core architecture, in which different quantum processors (cores) are connected via quantum and classical links. This new architectural design poses new challenges such as the expensive inter-core communication. To reduce these movements when executing a quantum algorithm, an efficient mapping technique is required. In this paper, a detailed critical discussion of the quantum circuit mapping problem for multi-core quantum computing architectures is provided. In addition, we further explore the performance of a mapping method, which is formulated as a partitioning over time graph problem, by performing an architectural scalability analysis.
@article{arxiv.2303.16125,
title = {Mapping quantum algorithms to multi-core quantum computing architectures},
author = {Anabel Ovide and Santiago Rodrigo and Medina Bandic and Hans Van Someren and Sebastian Feld and Sergi Abadal and Eduard Alarcon and Carmen G. Almudever},
journal= {arXiv preprint arXiv:2303.16125},
year = {2023}
}