量子コンピューティングを学ぶコース

IBM's official learning hub: interactive lessons and courses that teach quantum information and Qiskit, with free access to IBM Quantum simulators and real hardware.

A rigorous, beginner-friendly course on the mathematics of qubits, superposition, entanglement, and measurement — the conceptual foundation for everything else.

A free, hands-on codebook that teaches quantum computing and quantum machine learning by writing real PennyLane code in your browser, chapter by chapter.

Self-paced programming exercises (katas) that teach quantum computing and Q#/Qiskit through hundreds of small, testable tasks.

An essay-style, mnemonic-medium textbook that builds deep intuition for quantum computing using embedded spaced-repetition flashcards.

A structured, cohort-based program (often free for students) that teaches quantum computing from the ground up over a full course.

A visual, intuition-first video series on the linear algebra that underpins quantum computing — the ideal math primer.

Bite-sized coding challenges that turn quantum concepts into practice, from basic circuits to variational algorithms and QML.

A university course covering the core algorithms and principles of quantum computing, auditable for free on Coursera.

Official Google Quantum AI tutorials for building and simulating circuits with Cirq, including NISQ-era algorithms.

NVIDIA's open teaching materials for GPU-accelerated quantum simulation and hybrid quantum-classical programming with CUDA-Q.

MIT's graduate-level introduction to the theory of quantum information — qubits, protocols, and algorithms — auditable for free on edX.

The definitive graduate textbook on quantum computation and information — the standard reference for serious study.

A comprehensive, continually updated catalogue of quantum algorithms with references — a reference for advanced learners and researchers.