2026-04-17T03:59:11Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4175252026-01-14T07:22:44Zcom_2072_1033col_2072_452950

Revisiting the mapping of quantum circuits: entering the multi-core era Escofet i Majoral, Pau Ovide González, Anabel Bandic, Medina Prielinger, Luise Feld, Sebastian van Someren, Hans Alarcón Cot, Eduardo José Abadal Cavallé, Sergi García Almudever, Carmen Àrees temàtiques de la UPC::Enginyeria electrònica Quantum computing Multi-core quantum computing architecture Quantum circuit mapping Quantum computing represents a paradigm shift in computation, offering the potential to solve complex problems intractable for classical computers. Although current quantum processors already consist of a few hundred of qubits, their scalability remains a significant challenge. Modular quantum computing architectures have emerged as a promising approach to scale up quantum computing systems. This paper delves into the critical aspects of distributed multi-core quantum computing, focusing on quantum circuit mapping, a fundamental task to successfully execute quantum algorithms across cores while minimizing inter-core communications. We derive the theoretical bounds on the number of non-local communications needed for random quantum circuits and introduce the Hungarian Qubit Assignment (HQA) algorithm, a multi-core mapping algorithm designed to optimize qubit assignments to cores with the aim of reducing inter-core communications. Our exhaustive evaluation of HQA against state-of-the-art circuit mapping algorithms for modular architectures reveals a 4.9 × and 1.6 × improvement in terms of execution time and non-local communications, respectively, compared to the best performing algorithm. HQA emerges as a very promising scalable approach for mapping quantum circuits into multi-core architectures, positioning it as a valuable tool for harnessing the potential of quantum computing at scale. Postprint (published version) 2024-03-30 Article https://dl.acm.org/doi/10.1145/3655029 Open Access