qubithubdata-reuploading-classifier

Reproduction of the single-qubit universal classifier using data re-uploading, proving that one qubit with L layers can approximate any Boolean function on 2L input bits.

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Framework: PennyLane
Qubits: 1
Depth: 6
Gate set: RX, RY, RZ
Licence: Apache-2.0
Version: v1
Updated: 17 hours ago
Runs: 1 completed

qubithub.toml · 375 B

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@software{qubithub_datareuploadingclassifier_2026,
  author = {QubitHub Circuits},
  title = {Data Re-uploading (Pérez-Salinas 2020)},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/qubithub/data-reuploading-classifier},
}

Generated from this circuit's metadata. QubitHub does not mint DOIs, so this is not a registered identifier — check it against your venue's requirements before publishing.

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