# desireevl/awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

Repository: https://github.com/desireevl/awesome-quantum-computing
Canonical: https://ross.abutalabs.com/products/awesome-quantum-computing
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, quantum, quantum-computing
Last push: 2024-07-24T23:26:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3144, "days_push": 770, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3262, forks 476 (observed 2026-08-28T04:07:52.738930+00:00)

## What it is
A curated, community-driven list of resources for learning about and developing for quantum computers, including MOOCs, books, blogs, videos, podcasts, and development tools. It is a reference catalog (CC0-licensed) rather than software itself.

## Use cases
- find resources to learn quantum computing
- find quantum computing SDKs and development tools
- find quantum computing courses and MOOCs
- find books and blogs about quantum computing
- find quantum computing podcasts and videos
- get started with programming quantum computers

## When to choose
- you want a curated starting point for learning quantum computing
- you need to discover quantum SDKs like Qiskit, pyQuil, or Strawberry Fields
- you want up-to-date community-vetted learning materials

## When to avoid
- you need runnable quantum computing software rather than a resource list
- you need an exhaustive or academically complete bibliography
- you need a tool that executes quantum circuits

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: quantum-computing, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, quantum-computing, curated-resources, moocs, education

## Member repositories
- desireevl/awesome-quantum-computing (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:52.738930+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:43:51.920214+00:00, confidence not recorded.
  - readme: https://github.com/desireevl/awesome-quantum-computing (fetched 2026-08-28T04:07:52.738930+00:00, sha fdf7da95c683)
- Data as of 2026-08-30T08:39:29.467469+00:00.