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. 2021 Oct 29:39:107526.
doi: 10.1016/j.dib.2021.107526. eCollection 2021 Dec.

A dataset for quantum circuit mapping

Giovanni Acampora  1   2 , Roberto Schiattarella  1 , Alfredo Troiano  3
Affiliations

A dataset for quantum circuit mapping

Giovanni Acampora et al. Data Brief. .

Abstract

Quantum computing is rapidly establishing itself as a new computing paradigm capable of obtaining advantages over its classical counterpart. However, a major limitation in the design of a quantum algorithm is related to the proper mapping of the corresponding circuit to a specific quantum processor so that the underlying physical constraints are satisfied. Moreover, current deterministic mapping algorithms suffer from high run times as the number of qubits to map increases. To bridge the gap in view of the next generation of quantum computers composed of thousands of qubits, this data paper proposes the first datasets that help address the quantum circuit mapping problem as a classification task. Each dataset is composed of random quantum circuits mapped onto a specific IBM quantum processor. In detail, each dataset instance contains some features related to the calibration data of the physical device and others related to the generated quantum circuit. Finally, the instance is labeled with a vector encoding the best mapping among those provided by deterministic mapping algorithms. Considering this, the proposed datasets allow the development of machine learning models capable of achieving mapping similar to those achieved with deterministic algorithms, but in a significantly shorter time.

Keywords: Machine learning for quantum computing; Quantum circuit mapping; Quantum computing.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.

Figures

Fig. 1
Fig. 1
Example of circuit mapping.
Fig. 2
Fig. 2
ibmq_santiago and ibmq_athens coupling map.
Fig. 3
Fig. 3
ibmq_16_melbourne coupling map.
See this image and copyright information in PMC

References

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