Mapping quantum algorithms to multi-core quantum computing architectures

Conference Paper (2023)
Author(s)

Anabel Ovide (Universitat Politécnica de Valencia)

Santiago Rodrigo (Universitat Politecnica de Catalunya)

M. Bandic (TU Delft - QCD/Almudever Lab, TU Delft - QCD/Feld Group)

J. van Someren (TU Delft - QCD/Feld Group)

S. Feld (TU Delft - Quantum Circuit Architectures and Technology)

Sergi Abadal (Universitat Politecnica de Catalunya)

Eduard Alarcón (Universitat Politecnica de Catalunya)

Carmen G. Almudever (Universitat Politécnica de Valencia)

Research Group
QCD/Almudever Lab
Copyright
© 2023 Anabel Ovide, Santiago Rodrigo, M. Bandic, J. van Someren, S. Feld, Sergi Abadal, Eduard Alarcon, Carmen G. Almudever
DOI related publication
https://doi.org/10.1109/ISCAS46773.2023.10181589
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Anabel Ovide, Santiago Rodrigo, M. Bandic, J. van Someren, S. Feld, Sergi Abadal, Eduard Alarcon, Carmen G. Almudever
Research Group
QCD/Almudever Lab
ISBN (electronic)
9781665451093
Reuse Rights

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Abstract

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.

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