kanakpandit17data-reuploading-classifier-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 fromqubithub/data-reuploading-classifier

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

4 files · v1

File	Size
qubithub.toml	375 B
metadata.json	480 B
circuit.py	23 KB
README.md	11 KB

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forked fromqubithub/data-reuploading-classifier

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kanakpandit17/data-reuploading-classifier-fork-fork

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@software{kanakpandit17_datareuploadingclassifierfork_2026,
  author = {Kanak Pandit},
  title = {Data Re-uploading (Pérez-Salinas 2020) (Fork)},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/circuits/05615e64-0d1c-4c33-b287-c66b712c2ee4},
  note = {https://qubithub.co/kanakpandit17/data-reuploading-classifier-fork},
}

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