qubithubkernel-alignment

Optimizes quantum kernel parameters to maximize centered kernel-target alignment (CKA) — a principled score measuring how well a kernel matrix matches label structure. Uses a parameterized encoding with data-dependent and trainable rotations, optimized via Adam with PennyLane autograd.

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Framework: PennyLane
Qubits: 4
Depth: 10
Gate set: RY, RZ, CX
Licence: Not specified
Version: v1
Updated: 3 days ago
Last run: 3 months ago

circuit.py · 18 KB

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@software{qubithub_kernelalignment_2026,
  author = {QubitHub Circuits},
  title = {Kernel-Target Alignment},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/qubithub/kernel-alignment},
}

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