⚡ LIVE MATHEMATICAL PROFILER
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100% REAL-TIME EXECUTION
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🛡️ RFC 5737 SYNTHETIC TOPOLOGY (ZERO CUSTOMER DATA)
Hybrid Quantum-Classical Optimization & J-Space Manifold Engine
Benchmark and visualize live combinatorial topology clustering, QAOA Hamiltonian evolution, and J-Space context pinning across simulated enterprise networks. All topology presets utilize synthetic documentation models with zero exposure of physical device serials or private IP spaces.
GPU 0 (RTX 3060 12GB)
10.5 GB / 12 GB
Context & KV-Cache Slicing
58W / 120W
GPU 1 (RTX 3060 12GB)
8.9 GB / 12 GB
Ollama Qwen 3.8:27B / Quantum Kernel
58W / 120W
J-SPACE TOKEN COMPRESSION
96.7% REDUCTION
85,000 ➔ 2,800 tokens
0.0018s KV-Hit
QUANTUM SPEEDUP FACTOR
13.8x FASTER
QAOA vs Classical Heuristic
38ms vs 524ms
1. Network Topology & Framework
Variational QAOA Hyperparameters
Circuit Depth (p-layers):
3
Cost Hamiltonian Angle (γ):
1.28 π
Mixer Hamiltonian Angle (β):
0.74 π
J-Space CEK & Dual-GPU Split
Audit & Benchmark Receipt
VERIFIED REPRODUCIBLE
Export complete JSON execution receipts with ground-state energy, runtime latencies, and modularity matrices.
2. Live Topology Clustering & Quantum Wave Manifold
Force-directed energy minimization & statevector probability density
📊 Probability Density Distribution |ψ(γ, β)|² (Top Eigenstates)
|10110⟩
|01001⟩
|11000⟩
|00111⟩
|10001⟩
|01110⟩
|11111⟩
|00000⟩
Ground State Solution: |10110⟩ (Optimal Bipartition Energy: -28.4 eV)
48 Nodes · 112 Edges · 4 Autonomous Partitions
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