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krishnakumarsekar/awesome-quantum-machine-learning resource

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web observed · 2026-08-28

github.com/krishnakumarsekar/awesome-quantum-machine-learning · HTML · CC0-1.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3416
  • days_rel: n/a
  • days_push: 848
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3652 stars · 806 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list of quantum machine learning resources, covering basics, algorithms, study materials, libraries, and projects organized by language. It serves as an educational reference hub linking to papers, tutorials, and project descriptions around the web.

Use cases

  • learn quantum machine learning from scratch
  • find quantum ML algorithms and study materials
  • discover quantum computing libraries and software
  • find quantum machine learning projects to study
  • understand the bridge between quantum computing and machine learning
  • get started with qubits and quantum algorithms for AI

When to choose

  • you want a curated starting point for learning quantum machine learning
  • you need links to algorithms, tutorials, and study materials in one place
  • you are exploring quantum computing concepts as applied to AI

When to avoid

  • you need runnable quantum ML code or a framework rather than links
  • you need up-to-date, actively maintained documentation
  • you want a formal course or structured curriculum with exercises

Facets

learning-resource · maturity maintenance

machine-learning developer-tools documentation quantum-computing machine-learning artificial-intelligence tutorials awesome-lists cross-platform awesome-list quantum-machine-learning study-materials curated-resources qubits quantum-algorithms

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="krishnakumarsekar/awesome-quantum-machine-learning")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem