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