Fundamentals of Quantum Programming in IBM’s Quantum Computers

Quantum computing becomes easier to approach when its ideas are tied to programs you can inspect and test. Fundamentals of Quantum Programming in IBM’s Quantum Computers takes that practical route, building from qubits and gates toward algorithms for search, Fourier transforms, factoring, and phase estimation.

Weng-Long Chang and Athanasios V. Vasilakos pair conceptual explanations with programming examples and end-of-chapter exercises. The result is a structured introduction for readers who want to understand how quantum-computing ideas translate into circuits and working programs.

Start with the building blocks

The opening chapter introduces qubits, superposition, entanglement, measurement, and quantum gates. Examples explore familiar single-qubit gates as well as controlled operations, giving readers a foundation for understanding how quantum circuits are assembled.

Connect quantum gates to logic

From there, the book turns to Boolean algebra and reversible computation. It examines the Toffoli gate and shows how NOT, CNOT, and CCNOT gates can implement operations such as AND, OR, NAND, XOR, and XNOR.

Follow algorithms from idea to example

Later chapters move into quantum search and its applications to satisfiability and clique problems, followed by the quantum Fourier transform and inverse transform. The authors then introduce Shor’s order-finding algorithm, with a worked factorization example, and conclude with phase estimation and quantum counting.

Learn through worked programs and exercises

Examples are central to the book’s approach: readers encounter implementations alongside the concepts they illustrate. Exercises at the end of each chapter provide further opportunities to work through the material and test understanding.

Who may find it useful?

This title is suited to readers with an interest in quantum computing who want an example-led introduction to quantum algorithms and programming. Its progression from gates to applications makes it especially relevant to students, programmers, and technical readers exploring how quantum circuits are put together.