Quantum Computing: An Applied Approach

This book is designed for both academic coursework and corporate technical training.

It comprises three main parts: Part I outlines the necessary foundations of quantum computing and quantum circuits, Part II walks through the canon of quantum computing algorithms and provides executable code, and Part III covers the mathematical toolkit required to master quantum computing.

The second edition includes extensive updates on quantum machine learning, quantum error correction, Dirac notation, and more.

Additional resources include a companion GitHub site with code and updates.