Cross-Entropy Benchmarking Verifier
Watch the statistical test that certified Google's Sycamore 'quantum supremacy' result: draw live bitstring samples from a noisy quantum sampler and from a classical spoofing adversary, and see the linear cross-entropy benchmarking (XEB) estimator converge to different long-run values in real time.
Random circuit sampling only proves "quantum supremacy" if you can statistically certify that the samples really came from the hard-to-simulate quantum distribution and not from a classical shortcut. This simulator reproduces that certificate: linear cross-entropy benchmarking (XEB). A Porter–Thomas-distributed target distribution stands in for a genuinely scrambled random circuit's output, and two independent sample streams draw bitstrings from it live — an "honest" noisy quantum sampler whose fidelity you control, and a classical "spoofing" adversary whose sophistication you control. Both streams feed the exact linear-XEB estimator used on real hardware, and you watch the two running averages diverge in real time: the honest stream climbs toward the true fidelity while a naive classical guesser is pinned near zero, exactly the gap that makes XEB a working supremacy test.
Watch the linear cross-entropy benchmarking (XEB) statistic that certified Google's Sycamore quantum-supremacy result converge live, as an honest noisy quantum sampler and a classical spoofing adversary each draw bitstrings from a Porter-Thomas output distribution.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install