Applications

12 domain-specific modules mapping real physical systems to coupled Kuramoto-XY quantum simulation.

Domain Applications

FMO Photosynthesis
Fenna-Matthews-Olson complex. 7-chromophore energy transfer network mapped to XY Hamiltonian. Quantum coherence in photosynthetic light-harvesting. Validated against Engel et al. 2007 spectroscopy data.
Power Grid Synchronisation
IEEE test networks mapped to Kuramoto oscillators. Generator frequency coupling. Stability analysis via quantum order parameter. QAOA-MPC for optimal load balancing.
Josephson Junction Arrays
Superconducting junction networks. Phase dynamics governed by the same XY model. Vortex detection via Wilson loops. Critical current analysis.
EEG Neural Oscillations
Electroencephalography data mapped to coupled oscillator model. Frequency band coupling (alpha, beta, gamma). Quantum kernel classification of neural states. QSNN integration.
ITER Plasma Control
Tokamak MHD mode coupling. Grad-Shafranov equilibrium via VQLS. Disruption classification (SVM → VQE embedding). Real-time plasma shape control.
Quantum Extreme Value Statistics
Synchronisation-based quantum sampling for extreme value estimation. Rare event simulation. Risk quantification beyond classical Monte Carlo limits.

Cross-Ecosystem Integration

SC-NeuroCore Bridge
QSNN neurons mapped to stochastic computing bitstreams. Quantum STDP learning rules. Hybrid classical-quantum spiking networks. Round-trip validation with bit-true match.
SSGF Integration
Stochastic Schrödinger-Gross-Feshbach coupling. Quantum field theory bridge. Phase-space wiring between SSGF and XY simulator.
Phase Orchestrator
16-layer SCPN phase dynamics. Kuramoto coupling across consciousness layers. UPDE quantum protection. Layer-specific decoherence budgets.

Novel Physics

Ψ-field Lattice Gauge Theory New v0.9.5
U(1) compact gauge theory on lattice. Hybrid Monte Carlo evolution. Polyakov loops, topological charge, Wilson loops. Maps SCPN information field to lattice gauge observables.
Free Energy Principle New v0.9.5
Friston 2010 variational free energy: F = complexity + accuracy. Hierarchical predictive coding. ELBO gradient descent. Quantum extension of active inference.
Quantum Spiking Neural Networks
7-module QSNN subpackage. Quantum LIF neurons with parameterised circuits. Spike-Timing-Dependent Plasticity as variational updates. Dynamic coupling engine with micro-entanglement.

Knm Validation

5 Physical Systems Validated

The Knm coupling matrix framework has been validated against 5 independent physical systems:

IEEE Power Grid Josephson Arrays EEG Neural Data ITER MHD Modes FMO Chromophores

Each system provides a natural coupling topology that maps directly to the XY Hamiltonian. The quantum simulation reproduces known classical behaviour in the weak-coupling limit and reveals genuinely quantum features (entanglement, Bell violation) in the strong-coupling regime.