# Classiq/classiq-library

The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌

Repository: https://github.com/Classiq/classiq-library
Canonical: https://ross.abutalabs.com/products/classiq-library
Homepage: https://platform.classiq.io
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: quantum-algorithms, quantum-software, quantum-applications, quantum-open-source, quantum-optimization, quantum-synthesis, quantum-compiler, quantum-machine-learning
Last push: 2026-08-24T15:25:45+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 77
- inputs: {"age_days": 1091, "days_push": 9, "days_rel": 16, "gap_med": 6.0, "n_releases_24m": 93}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2031, forks 877 (observed 2026-08-28T04:06:07.257138+00:00)

## What it is
A large open-source collection of quantum algorithms, applications, and tutorials built with the Classiq SDK and Qmod language. It serves as both a reference library and learning resource for quantum software development.

## Use cases
- learn quantum computing with worked examples
- find implementations of quantum algorithms
- build quantum optimization circuits
- explore quantum machine learning examples
- compile and synthesize optimized quantum circuits
- run quantum programs on real quantum hardware

## When to choose
- you want ready-made quantum algorithm examples and tutorials
- you use the Classiq SDK or Qmod language
- you want to learn quantum programming from runnable notebooks

## When to avoid
- you need a general-purpose quantum framework without the Classiq platform
- you want a low-level gate-level quantum simulator
- you need production quantum software outside the Classiq ecosystem

## Facets
- artifact type: learning-resource
- maturity: active
- function: sdk, compiler, simulation, machine-learning, developer-tools
- domain: quantum-computing, tutorials, education
- platform: python, cross-platform
- tags: quantum-computing, quantum-algorithms, qmod, jupyter-notebooks, quantum-optimization, quantum-machine-learning, circuit-synthesis, algorithms, web-server

## Member repositories
- Classiq/classiq-library (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.257138+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 2026-08-30T02:59:30.828029+00:00, confidence not recorded.
  - readme: https://github.com/Classiq/classiq-library (fetched 2026-08-28T04:06:07.257138+00:00, sha cc81f6f2919a)
  - homepage: https://platform.classiq.io (fetched 2026-08-29T10:39:28.144758+00:00, sha 8801d6f17e99)
- Data as of 2026-08-30T08:39:29.467469+00:00.