Quantum Resources started as a curated list of links. Today it grows into a full
open learning hub for quantum computing.
- 🗺️ Four learning roadmaps — Beginner, Intermediate, Advanced and Quantum AI.
- 🧪 Five hands-on labs — Quantum RNG, Teleportation, Grover, Deutsch–Jozsa and a QML classifier, each with theory, runnable code and exercises.
- 🧰 Framework guides — Qiskit, Cirq, PennyLane, Q#, Braket and TensorFlow Quantum.
- ⚛️ Interactive tools — an in-browser Bloch sphere, a gate visualizer and a 2-qubit circuit builder.
- 📚 Searchable resource library — 500+ books plus curated courses and papers.
- 💼 Career roadmaps — for quantum software, research, QML and hardware roles.
Whether you are a student taking your first steps, an engineer pivoting into
quantum, or an AI practitioner curious about QML, there's now a structured path
for you. And it's all open source.
Found a broken link, a missing resource, or want to write a new lab? Check the
Contribution Guide
and our good-first-issues. ⭐ a star on GitHub helps more people find the hub.
Happy computing. ⚛️
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