Quantum Algorithms and Applications: A Scaffolding Approach (eBook)

(Imported from Amazon) This book begins with a review of the fundamental concepts of quantum algorithms, followed by detailed explanations of key techniques such as the Quantum Fourier Transform (QFT) and Quantum Phase Estimation (QPE). It then bridges these foundations to Shor’s factoring algorithm. After demonstrating Shor’s algorithm through concrete examples, the discussion expands into the more general framework of Hidden Subgroup Problems.
The book also highlights the importance of Hamiltonian simulation, explaining time evolution as governed by the Schrödinger equation. And Variational algorithms based on Ansatz are treated with a rigor and depth that is particularly commendable.
Unlike many CS-oriented books, this book devotes substantial space to simulations in physics and chemistry. The Hamiltonian introduced earlier plays a central role here as well. In doing so, the book provides a concrete and efficient approach to simulating nature, staying true to the vision originally envisioned by Feynman.
In addition, readers can explore modern applications such as quantum optimization and quantum machine learning. Together with the other two volumes in the Scaffolding series, this book is likely to become a definitive reference in quantum computing for researchers, engineers, and students alike.

(Imported from Amazon) Just started, but seems to be on par with the prior book in the series. Excellent reference overall. Again docking a star for no solutions available for self-study. There is also a minor printing/binding issue where the last page from the chapter 23 (which is in volume 2) got included after chapter 14 at the end of volume 1. It is clear that they made a last minute decision to split the book into 2 volumes and this is just a harmless mistake made in the split. (The page is also in its correct location in volume 2)