Clifford Perturbation Approximation for Quantum Error Mitigation

Quantum error mitigation (QEM) is critical for harnessing the potential of near-term quantum devices. Particularly, QEM protocols can be designed based on machine learning, where the mapping between noisy computational outputs and ideal ones can be learned on a training set consisting of Clifford ci...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Zhang, Ruiqi, Shao, Yuguo, Fuchuan Wei, Cheng, Song, Wei, Zhaohui, Liu, Zhengwei
Format:	Artikel
Sprache:	eng
Schlagworte:	Circuits Errors Gates Ising model Machine learning Mapping Microprocessors Numerical models Perturbation Qubits (quantum computing) Statistical analysis
Online-Zugang:	Volltext
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