HomeQuantum Physics3D Three.js/WebGL Scene Quantum Computing Hardware Simulation

3D Quantum Hardware Platform Comparison

Three real quantum hardware families -- a superconducting chip, a trapped-ion trap and a photonic waveguide chip -- rendered as distinct 3D modules and animated with the same real T1/T2 decoherence and gate-fidelity math, so you can watch which platform's circuit-depth budget survives longest.

Quantum Physics3DAdvanced60 FPS📱 Mobile-adapted⇄ 2D version
3d-qe-topic-50 ↗ Open standalone

Three.js scene rendering three real quantum-computing hardware families as distinct schematic modules — a superconducting chip, a trapped-ion linear Paul trap and a photonic waveguide chip — animated side by side with the same real T1/T2 decoherence math (coherence(t) = exp(−t/T2), T2 ≤ 2×T1) used across this site's decoherence sims, combined with each platform's real 2-qubit gate time and gate fidelity into a genuine usable-probability curve, usable(n) = exp(−n·tgate/T2) × fidelity^n. Run a simulated circuit and watch each module's glow fade as its real circuit-depth budget is consumed — the same comparative model as the 2D companion sim, here rendered as physically distinct 3D hardware.

⚙ Under the hood

Explore three real quantum-computing hardware platforms in 3D: superconducting chip, trapped-ion linear Paul trap, and photonic waveguide chip. Adjust circuit depth and gate error rates to see how coherence degrades over time.

Three.jsquantum computingquantum hardwaresuperconducting qubittrapped ionphotonic quantum computingdecoherencegate fidelitycircuit depth

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

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