Uncover the mysteries of the next world-changing paradigm with the ultimate guide to quantum computing by Shervin Tarjoman.

Throughout "The Hidden Power: Quantum Computing", we move from the ground-level basics of quantum mechanics all the way to current-generation developments in the quantum-computing space, and demystify those concepts, so that anyone can understand them.

Inside the Book

Background and History: Introduction to quantum computing and landmarks in the field, such as key breakthroughs and the scientists who played a crucial role in developing the field.

Fundamentals of Quantum Mechanics: Understand wave-particle duality, superposition, quantum entanglement, and quantum states, and how they are different from classical mechanics.

Quantum Computing Basics: Introduction to qubits, quantum gates, and the essential algorithms — Deutsch-Jozsa and Bernstein-Vazirani — that demonstrate quantum speedup.

Advanced Quantum Algorithms: Deep dive into quantum algorithms for cryptography, Shor's algorithm, Grover's search algorithm, and other significant quantum algorithms.

Quantum Hardware: Overview of quantum computing hardware types, including superconducting qubits, trapped ions, and recent advancements in technical implementations.

Quantum Programming: Learn to use programming languages and frameworks, including Qiskit, Cirq, and Microsoft Q#. Writing quantum codes: practical guides for simulation and execution.

Industry Applications: How quantum computing is influencing cryptography, optimization, AI, machine learning, and other fields, with real-world examples.

Future Trends and Ethical Considerations: Insights into trends, societal impacts, and ethical challenges related to quantum computing.

Why Should You Read It?

Unquestionably, if you want to learn about quantum computing and enjoy an in-depth discussion, this book is yours. The narrative is written in a straightforward manner with a good amount of context that helps in understanding the nuances of many different quantum aspects so if you fit into the student category curious to know the basics, a researcher looking for deep learning, or a techie looking to explore practical implementations, you'll take something from it.