The QEM Zoo

A comprehensive catalog of quantum error mitigation (QEM) and quantum error suppression (QES) techniques, inspired by the Complexity Zoo and the Error Correction Zoo.

Motivated by Open Problem 1 in Cai et al., "Quantum Error Mitigation," Rev. Mod. Phys. (2023).

Running locally

uv run main.py

This starts a local server at http://localhost:8000 and opens it in your browser.

Pages

• Protocols (index.html) — the main catalog of QEM and QES methods
• Techniques (techniques.html) — supporting methods: noise scaling, extrapolation and post-processing, noise learning
• Noise (noise.html) — noise channels and the techniques that address them
• Applications (applications.html) — VQE, QAOA, Hamiltonian simulation, and other use cases
• Detail pages (technique.html?id=..., application.html?id=...) — rendered from the JSON data files, with LaTeX typeset by MathJax

Contributing

Corrections and new entries are welcome, either as a pull request or by email (see the FAQ). Everything on the site is rendered from the JSON files under data/, so an edit is a JSON edit and the site itself has no build step. Two small scripts derive references.bib and sitemap.xml from that data.

To add a protocol:

1. Add its references to data/references.json, keyed by first author and year (then run python3 scripts/generate_bibtex.py and python3 scripts/generate_sitemap.py, which derive references.bib and sitemap.xml from the data)
2. Add a catalog entry to data/techniques.json: id, name, category (mitigation or suppression), summary, properties, references, and related edges to other entries
3. Add data/techniques/<id>.json with the long-form content: description, how_it_works, key_equations, advantages, disadvantages, use_cases, and any diagrams

The other catalogs follow the same two-file pattern: a list file (data/noise.json, data/applications.json, data/extrapolation.json, data/noise-scaling.json, data/noise-learning.json) and a per-entry detail file in the matching directory.

Claims on a page should be traceable to a cited paper, and numbers (qubit counts, overheads, thresholds) should match what that paper reports.

Structure

• data/techniques.json and data/techniques/ — protocol catalog and per-protocol detail
• data/noise.json, data/applications.json, data/extrapolation.json, data/noise-scaling.json, data/noise-learning.json — the other catalogs, each with a matching detail directory
• data/references.json — reference metadata used to render every citation
• references.bib — BibTeX export of data/references.json, regenerate with scripts/generate_bibtex.py
• *.html, css/, js/ — static frontend, one script per page type
• images/, scripts/ — figures and the scripts that generate them
• main.py — local static file server