From Qubits to Applications in Chemistry and Materials
📚 3 Series | 📖 15 Chapters | 💻 26 Code Examples | 🎯 Quantum Computing
The Quantum Computing Dojo teaches quantum computing from the qubit up to applications in chemistry and materials. It is written for learners coming from materials science and machine learning who want to understand what quantum computers actually do—and what they do not yet do—without first completing a physics degree. Superposition and entanglement are introduced as concrete linear algebra rather than as slogans, then assembled into gates, circuits, the landmark algorithms, and the noisy hardware of today.
Key Features: Every chapter pairs theory with NumPy code you can run immediately—a state vector is just a complex array, and a gate is just a matrix multiplication—so no quantum computing SDK is required. The treatment is deliberately honest and hype-free: proven speedups are separated from conditional ones, and marketing claims are held against classical baselines. Readers who want deeper physics background can pair this dojo with the Introduction to Quantum Mechanics series in the Foundational Mathematics Dojo, though every series here is self-contained without it.