Quantum Benchmark Zoo
A community-maintained catalog of protocols for measuring quantum computer performance — from single-gate characterization to full application suites. Each entry covers what the benchmark measures, how it works, key papers, and reference implementations.
All benchmarks
Estimates circuit fidelity by checking how often a device samples the high-probability bitstrings of random quantum circuits — the metric behind Google's quantum supremacy claim.
Single-number, full-system benchmark that scores a device by the largest random square circuit it can run while still generating heavy outputs reliably.
Estimates average gate error from the exponential decay of survival probability over increasingly long random Clifford sequences, robust to state-preparation and measurement errors.
Scalable, hardware-agnostic suite of eight application-level benchmarks, with a six-dimensional feature vector that profiles how each workload stresses a device.
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Browse by category
Component-level
Characterize individual gates, qubits, and operations in isolation — error rates, coherence, and calibration quality.
System-level
Exercise a whole processor with structured or random circuits to produce holistic scores that reflect qubit count, fidelity, connectivity, and the compiler together.
Application-level
Measure end-to-end performance on programs representative of real workloads, from algorithm subroutines to full application suites.