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               <dc:title>Revisiting the mapping of quantum circuits: entering the multi-core era</dc:title>
               <dc:creator>Escofet i Majoral, Pau</dc:creator>
               <dc:creator>Ovide González, Anabel</dc:creator>
               <dc:creator>Bandic, Medina</dc:creator>
               <dc:creator>Prielinger, Luise</dc:creator>
               <dc:creator>Feld, Sebastian</dc:creator>
               <dc:creator>van Someren, Hans</dc:creator>
               <dc:creator>Alarcón Cot, Eduardo José</dc:creator>
               <dc:creator>Abadal Cavallé, Sergi</dc:creator>
               <dc:creator>García Almudever, Carmen</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Enginyeria electrònica</dc:subject>
               <dc:subject>Quantum computing</dc:subject>
               <dc:subject>Multi-core quantum computing architecture</dc:subject>
               <dc:subject>Quantum circuit mapping</dc:subject>
               <dc:description>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.</dc:description>
               <dc:description>Postprint (published version)</dc:description>
               <dc:date>2024-03-30</dc:date>
               <dc:type>Article</dc:type>
               <dc:relation>https://dl.acm.org/doi/10.1145/3655029</dc:relation>
               <dc:rights>Open Access</dc:rights>
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