Curated learning material, tools, and working templates for teams that want to move fast but responsibly.
The Quantum Open Source Foundation's curated list of open-source quantum software projects — covering simulators, compilers, algorithms, cryptography tools, and more. The definitive starting point for anyone exploring the quantum software ecosystem.
A comprehensive collection of free, open-source Jupyter notebook tutorials for learning quantum computing with Qiskit. Covers quantum circuits, algorithms (Grover, Shor, QAOA, VQE), and real hardware execution. Listed on QOSF.
A collection of free, self-paced programming exercises for learning quantum computing and Q# from Microsoft. Covers quantum basics, superposition, entanglement, quantum measurement, and well-known algorithms through hands-on coding challenges. Listed on QOSF.
A beautifully written, free, interactive introduction to quantum computing by Andy Matuschak and Michael Nielsen. Uses embedded spaced-repetition flashcards so readers genuinely retain what they learn. Covers qubits, quantum gates, and algorithms from scratch.
Free structured learning platform by IBM covering quantum computing fundamentals, Qiskit programming, quantum machine learning, and error correction. Includes interactive Jupyter notebooks and skill certificates. The best free structured curriculum for beginners.
Official free guidance document from NIST for organizations planning their migration from classical to post-quantum cryptography. Covers risk timelines, cryptographic inventory, and migration strategies. Essential reading for IT and security decision-makers.
Free academic resources from the PQCrypto conference series, including foundational papers by Bernstein and Lange on lattice-based, code-based, hash-based, and multivariate cryptographic schemes. The go-to reference hub for post-quantum cryptography research.
Free, open-source tutorials on solving the Travelling Salesman Problem using the Quantum Approximate Optimization Algorithm (QAOA). A practical, beginner-friendly introduction to quantum combinatorial optimization with working Python code. Listed on QOSF.
Access real quantum computers and simulators directly from your browser. IBM Quantum offers free cloud-based access to quantum hardware, Qiskit SDK integration, and learning labs for beginners through advanced researchers.
Open-source Python SDK for working with quantum computers at the level of circuits, pulses, and algorithms. The most widely used quantum computing framework worldwide, with extensive documentation and community support.
Open-source cross-platform Python library for differentiable programming of quantum computers. Supports automatic differentiation of quantum circuits and integrates with PyTorch, TensorFlow, and JAX for quantum machine learning. Listed on QOSF.
A free, drag-and-drop, browser-based quantum circuit simulator. No installation required — build and visualize quantum circuits instantly in your browser. Perfect for beginners and students learning quantum gates and algorithms. Listed on QOSF.
An open-source C library for prototyping and evaluating post-quantum cryptography. Includes all NIST PQC finalists: CRYSTALS-Kyber, CRYSTALS-Dilithium, and FALCON. Also includes quantum-safe OpenSSL and OpenSSH forks. Listed on QOSF.
Official NIST post-quantum cryptography standards page with finalized algorithms (ML-KEM, ML-DSA, SLH-DSA) and their reference implementations and technical specifications. The authoritative source for PQC standardization.
Open-source cross-platform quantum error mitigation compiler from Unitary Fund. Works with Cirq, Qiskit, PyQuil, and Braket. Implements Zero Noise Extrapolation and other error reduction techniques for NISQ devices. Listed on QOSF.
Open-source software for simulating the dynamics of open quantum systems. Widely used in quantum physics research for modeling qubits, quantum gates, and Lindblad master equations. Listed on QOSF.