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kanakpandit17data-reuploading-classifier-fork-fork

Single-qubit data re-uploading classifier inspired by Pérez-Salinas et al. (2020), trained in simulation on a small circle dataset; not a reproduction of the paper's results. The paper argues that enough re-uploading layers can approximate any classification boundary; a formal proof followed in 2021.

forked fromkanakpandit17/data-reuploading-classifier-fork

RunCite
Framework
PennyLane
Qubits
1
Depth
6
Gate set
RX, RY, RZ
Licence
Apache-2.0
Version
v1
Updated
2 days ago
Runs
None completed

circuit.py · 23 KB

Code

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Suggested citation

@software{kanakpandit17_datareuploadingclassifierforkfork_2026,
  author = {Kanak Pandit},
  title = {Data Re-uploading (Pérez-Salinas 2020) (Fork) (Fork)},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/circuits/469c84b4-f530-470f-bc1f-95c4f5023918},
  note = {https://qubithub.co/kanakpandit17/data-reuploading-classifier-fork-fork},
}

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