VQE Ansatz: Ring Diagram & Barren Plateaus (2D)
2D ring-diagram and gradient-heatmap view of a hardware-efficient VQE ansatz: the same genuine multi-qubit statevector, Ising-ring Hamiltonian and parameter-shift gradient descent as the 3D Bloch-sphere simulator, redrawn as a qubit coupling graph, an energy-vs-iteration curve, and a live barren-plateau gradient heatmap.
The same real hardware-efficient VQE ansatz as the 3D geometric simulator — a genuine complex statevector of up to 32 amplitudes, alternating RY/RZ layers, a CNOT entangling ring, and a parameter-shift gradient descent minimizing an antiferromagnetic Ising-ring Hamiltonian H = Σ ZᵢZᵢ₊₁ — redrawn through three 2D-native diagrams instead of 3D Bloch arrows: a qubit coupling-ring graph whose node colors are single-qubit ⟨Zᵢ⟩ expectations and whose edge colors are genuine two-qubit ⟨ZᵢZᵢ₊₁⟩ correlators (the graph-theoretic signature of entanglement), a live energy-vs-iteration curve against the brute-force classical ground energy, and a per-parameter gradient heatmap that visibly dims as the ansatz grows — a direct, quantitative view of the barren-plateau training problem limiting today's NISQ-era variational algorithms.
The same real hardware-efficient VQE ansatz and Ising-ring Hamiltonian as the 3D Bloch-sphere simulator, redrawn as a 2D qubit coupling-ring graph, a live energy-vs-iteration curve, and a per-parameter gradient heatmap that reveals the barren-plateau training problem.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install