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Citation notice #568 · 2026-07-11 03:18:50.352378+00:00

Single-shot quantum neural networks with amplitude estimation

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cites Parameterized quantum circuits as machine learning models , volume=, which carries a correction notice dated 2019-12-04. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

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01Evidence

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Seo, Efficient quantum machine learning with inverse-probability al- gebraic corrections (2026). arXiv:2601.16665. URLhttps://arxiv.org/abs/2601.16665 [8] M. Benedetti, E. Lloyd, S. Sack, M. Fiorentini, Parameterized quantum circuits as machine learning models, Quantum Science and Technology 4 (4) (2019) 043001. doi:10.1088/2058-9565/ab4eb5. URLhttps://dx.doi.org/10.1088/2058-9565/ab4eb5 [9] T. Hubregtsen, J. Pichlmeier, P. Stecher, K. Bertels, Evaluation of pa- rameterized quantum circuits: on the relation between classification ac- curacy, expressibility, and entangling capability, Quantum Machine In- telligence 3 (1) (2021) 9. doi:10.1007/s42484-021-00038-w. URLhttps://doi.org/10.1007/s42484-021-00038-w [10] J. Shi, W. Wang, X. Lou, S.

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Seo, Efficient quantum machine learning with inverse-probability al- gebraic corrections (2026). arXiv:2601.16665. URLhttps://arxiv.org/abs/2601.16665 [8] M. Benedetti, E. Lloyd, S. Sack, M. Fiorentini, Parameterized quantum circuits as machine learning models, Quantum Science and Technology 4 (4) (2019) 043001. doi:10.1088/2058-9565/ab4eb5. URLhttps://dx.doi.org/10.1088/2058-9565/ab4eb5 [9] T. Hubregtsen, J. Pichlmeier, P. Stecher, K. Bertels, Evaluation of pa- rameterized quantum circuits: on the relation between classification ac- curacy, expressibility, and entangling capability, Quantum Machine In- telligence 3 (1) (2021) 9. doi:10.1007/s42484-021-00038-w. URLhttps://doi.org/10.1007/s42484-021-00038-w [10] J. Shi, W. Wang, X. Lou, S

02Event

Type
Correction
Source
Crossref
Original DOI
10.1088/2058-9565/ab4eb5
Notice DOI
10.1088/2058-9565/ab5944
Date
2019-12-04
Title
Erratum: Parameterized quantum circuits as machine learning models (2019 <i>Quant. Sci. Tech.</i> <b>4</b> 043001)
Reasons
['Correction']
Work
Parameterized quantum circuits as machine learning models , volume= (2058) Quantum Science and Technology

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