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A good book to have on the topic of quantum computing.

The key features of this book, such as the introduction to matrix arithmetic and the opportunity to write quantum computing programs in Qiskit, greatly enhance the learning experience. What sets this book apart is the author's willingness to connect with readers directly, encouraging them to email any questions, regardless of how elementary they may seem. This level of engagement is truly commendable and fosters a sense of community in the learning process.

Great exploration into the nuts and bolts of the common quantum algorithms. “Quantum Computing Algorithms”(Packt, 2023) by Barry Burd takes the essentials of his introductory college class and brings all that instruction to this book in an easy-to-follow, step-by-step methodology. The first section explores quantum basics, the second what quantum can do for you, and the third dives deeply into the primary quantum algorithms. Each chapter includes mathematical support and Qiskit examples to help run your own code. Overall, this is a great step in learning quantum and probably lands in that introductory to intermediate phase for your journey. The first section covers the quantum basics to explore the field, what a qubit is, working with a Bloch sphere, and interpreting as Qiskit code. The Bloch sphere helps one distinguish between the O and 1 methodology for classical bits versus truly understanding why qubits can fall anywhere between 0 and 1. It is the range of qubit interpretation that makes them the most powerful. The chapters here conclude with an explanation of the different gate types with the physical and mathematical interpretation. Burd also introduces the Bell states and explains why it is important that values may be opposite when measured. The middle section is relatively short but introduces some key elements. The first is why quantum is so important from a cryptographical perspective in either coding unbreakable messages or decrypting previously unbreakable items. Another important discussion is the references to quantum teleportation. The no-cloning algorithm with qubits indicates that while you cannot copy a code, you can split a qubit so that you know exactly what information will be communicated. This concept lies at the heart of all future quantum networking. The third section supplies the meat of the book, a deep dive into the Deutsch, Grover, and Shor algorithms and their importance to overall quantum computing. The Deutsch algorithm is the basic approach, proving that quantum works by demonstrating whether an equation is constant or balanced. Grover begins the actual application and explains why quantum search protocols use a square root of the number of items rather than the number of items minus one to verify a result. Shor’s algorithm explains how to use quantum computing to decrypt classical encryption. There is a short fourth section that includes some notes on practical quantum usage beyond the initial algorithms. Really enjoyed the overall book. Some of the math left me a little behind on a quick reading, but spending some time on the introductory chapters can help. There is a gap between understanding how quantum computing functions and how the underlying math supports those applications. Other forms of coding have been around long enough that the mathematical analysis behind iterations in for-while loops or other commands is commonly understood. For quantum, we still need to make sure we understand those applications inside and out and this book does a good job in laying out those basics. Overall, “Quantum Computing Algorithms”(Packt, 2023) by Barry Burd was a great reference for either the beginner or the advanced student. The foundational concepts were laid out clearly, and each example was built through succeeding chapters. I enjoyed the personal use cases where the difficult concepts are clearly explained through analogy. If you are interested in quantum, you should at least give this one a quick read and then possibly use the samples to explain some of the more difficult quantum applications to your peers.

This book starts off with the basics, bits and logic gate and then quickly picks up the pace. Matrices are covered with Python, Jupyter notebooks, Qubits, Qiskit, and Quantum Gates are covered in great detail. These early concepts pave the way for more complex content areas to include Mutli-Qubit Gates, quantum networks, cryptography, and teleportation circuitry.Three classic quantum computing algorithms are covered: Deutsch, Grover, and Shor. These are provided in sufficient detail in grace, that they are surprisingly easy to digest. If that is not enough, the authors wrote a section that looks at what is next for quantum computing such as simulation and solving unsolvable problems.Even if you are only casually interested in quantum computing, this book is well worth your time and money.