About

The Quantum Benchmark Zoo is a catalog of protocols for measuring quantum computer performance. Quantum benchmarking is fragmented across papers, vendor documentation, and software repositories; this site collects the protocols in one place, with a consistent structure: what each benchmark measures, how it works, its strengths and limitations, key papers, and reference implementations.

How entries are organized

Every benchmark is filed under one of three categories:

• 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.

Entries aim for a neutral, cite-your-sources tone: claims about what a benchmark shows — and where it falls short — should trace back to the literature.

Contributing

Each benchmark is a single Markdown file with structured frontmatter, validated against a schema at build time — a malformed entry fails the build rather than shipping. To add a benchmark: copy an existing file in src/content/benchmarks/, fill in the frontmatter and body, and open a pull request onGitHub. The repository'sCONTRIBUTING.mdhas the full field reference.

Related resources

• Metriq — a Unitary Foundation platform for submitting and tracking quantum benchmark results over time.
• Error Correction Zoo — a catalog of classical and quantum error-correcting codes.
• Quantum Algorithm Zoo — a catalog of quantum algorithms and their speedups.