Integrate with real tokamak data (QLKNN transport profiles)

[anulum]

The Kuramoto-XY mapping uses canonical SCPN parameters (Paper 27). A natural extension is to derive omega_n and K_nm from real tokamak transport data.

Approach:

• Use QLKNN turbulent transport profiles as source for coupling strengths
• Map radial grid points to oscillator layers
• Compare quantum-simulated synchronization against classical transport solver predictions

Data source: QLKNN-hyper-10D (Citrin et al. 2017), available as open dataset.

Depends on: scpn-fusion-core QLKNN interface.

[github-actions]

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