Architecture-Aware Synthesis of Stabilizer Circuits from Clifford Tableaus

Fuente: arXiv
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Hauptverfasser: Winderl, David, Huang, Qunsheng, de Griend, Arianne Meijer-van, Yeung, Richie
Format: Preprint
Veröffentlicht: 2023
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author Winderl, David
Huang, Qunsheng
de Griend, Arianne Meijer-van
Yeung, Richie
author_facet Winderl, David
Huang, Qunsheng
de Griend, Arianne Meijer-van
Yeung, Richie
contents Since quantum computing is currently in the NISQ-Era, compilation strategies to reduce the number of gates executed on specific hardware are required. In this work, we utilize the concept of synthesis of a data structure called Clifford tableaus, focusing on applying CNOTs within the respective connectivity graph of the quantum device. We hence contribute to the field of compilation or, more precisely, synthesis by reducing the number of CNOTs in the synthesized quantum circuit. Upon convergence, our method shows to outperform other state-of-the-art synthesis techniques, when executed with respect to a specific hardware. Upon executing the resulting circuits on real hardware, our synthesized circuits tend to increase the final fidelity and reduce the overall execution times.
format Preprint
id arxiv_https___arxiv_org_abs_2309_08972
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Architecture-Aware Synthesis of Stabilizer Circuits from Clifford Tableaus
Winderl, David
Huang, Qunsheng
de Griend, Arianne Meijer-van
Yeung, Richie
Quantum Physics
Since quantum computing is currently in the NISQ-Era, compilation strategies to reduce the number of gates executed on specific hardware are required. In this work, we utilize the concept of synthesis of a data structure called Clifford tableaus, focusing on applying CNOTs within the respective connectivity graph of the quantum device. We hence contribute to the field of compilation or, more precisely, synthesis by reducing the number of CNOTs in the synthesized quantum circuit. Upon convergence, our method shows to outperform other state-of-the-art synthesis techniques, when executed with respect to a specific hardware. Upon executing the resulting circuits on real hardware, our synthesized circuits tend to increase the final fidelity and reduce the overall execution times.
title Architecture-Aware Synthesis of Stabilizer Circuits from Clifford Tableaus
topic Quantum Physics
url https://arxiv.org/abs/2309.08972