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Randomized Benchmarking — Measuring Quantum Gate Error Rate

Run randomized-benchmarking experiments: apply a random Clifford sequence plus its exact inverse to a qubit, watch survival probability decay with sequence length, and extract an average gate error rate from the fitted curve — without full state tomography.

Quantum Computing2DAdvanced60 FPS

Randomized benchmarking extracts a single average error rate for a gate set without reconstructing the full noisy process. Apply a random sequence of Clifford gates followed by its exact inverse, measure how often the qubit survives back to its starting state, and repeat at increasing sequence lengths — the survival probability decays exponentially, and fitting that decay reads off the average error per gate.

⚙ Under the hood

Run randomized-benchmarking experiments on a qubit: apply a random sequence of Clifford gates plus its exact inverse, watch the measured survival probability decay with sequence length across an accumulating scatter plot, and read a live average gate error rate extracted from the fitted exponential decay — no full state tomography required.

Quantum ComputingRandomized BenchmarkingClifford GroupGate Error RateSurvival ProbabilityExponential DecayCanvas 2DQuantum Metrology

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install