Efficient Random Quantum Circuit Generator: A Benchmarking Approach for Quantum Simulators

Recently, many proposed simulators have been proposed. However, they lack a standard evaluation, including a benchmarking dataset and metrics set, leading to low confidence. To solve this problem, in this research, we propose a general random quantum circuit (RQC) generator. The proposed generator consumes fewer resources than the Haar random generator. When increasing the number of qubits, the resources used by the RQC generator remain constant, while the resources for Haar increase exponentially. To demonstrate the applicability of RQC, we evaluated on 14GB dataset of 15,000 generated quantum circuits through four simulators and three hardware-based simulators. Moreover, the evaluation metrics have been clarified for the benchmarking process of quantum simulators. The experiment results based on these metrics demonstrate that the RQC generator is a practical component for random quantum circuit benchmarking.

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Publication Details

Published
2024-12-21
DOI
https://doi.org/10.1109/rivf64335.2024.11009047
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35
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article

Efficient Random Quantum Circuit Generator: A Benchmarking Approach for Quantum Simulators

Vu Tuan Hai, Yasuhiko Nakashima, Pham Hoai Luan, Vu Trung Duong Le
1 citations
Quantum Computing Algorithms and Architecture
0.35
article

Efficient Random Quantum Circuit Generator: A Benchmarking Approach for Quantum Simulators

Vu Tuan Hai, Yasuhiko Nakashima, Pham Hoai Luan, Vu Trung Duong Le
article en
1 citations

Abstract

Recently, many proposed simulators have been proposed. However, they lack a standard evaluation, including a benchmarking dataset and metrics set, leading to low confidence. To solve this problem, in this research, we propose a general random quantum circuit (RQC) generator. The proposed generator consumes fewer resources than the Haar random generator. When increasing the number of qubits, the resources used by the RQC generator remain constant, while the resources for Haar increase exponentially. To demonstrate the applicability of RQC, we evaluated on 14GB dataset of 15,000 generated quantum circuits through four simulators and three hardware-based simulators. Moreover, the evaluation metrics have been clarified for the benchmarking process of quantum simulators. The experiment results based on these metrics demonstrate that the RQC generator is a practical component for random quantum circuit benchmarking.

Nara Institute of Science and Technology (JP)
Affordable and clean energy
Openalex Percentile: Top 29%
Quantum Computing Algorithms and Architecture
0.35
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