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D8FE29CC4AD7095B6482001AE3B850F87E7E2796
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April 16, 2026, 8:15 a.m.
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(Last updated: April 16, 2026, 8:17 a.m.)
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| Code.zip | 284.6 KB |
| Combarro E. A Practical Guide to Quantum Computing. Hands-on approach...2ed 2025.pdf | 2.7 MB |
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SOURCE: Combarro E. A Practical Guide to Quantum Computing. Hands-on approach...2ed 2025
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MEDIAINFO
Textbook in PDF format Key benefits Understand the theoretical foundations of quantum computing Learn how to use the Qiskit framework and how to run quantum algorithms with it Discover top quantum algorithms like Grover’s search and Shor’s factoring methods Purchase of the print or Kindle book includes a free PDF eBook Description This book is an introduction, from scratch, to quantum computing and the most important and foundational quantum algorithms—ranging from humble protocols such as Deutsch’s algorithm to ones with far-reaching potential, such as Shor’s factoring algorithm—offering clear explanations and a hands-on approach with runnable code on simulators and real hardware. The book is self-contained and does not assume any previous experience in quantum computing. Starting with a single qubit, it scales to algorithms using superposition and entanglement. At every step, examples of applications are provided, including how to create quantum money that is impossible to forge, quantum cryptography that cannot be broken, and algorithms for searching and factoring that are much faster than those that regular, non-quantum computers can use. Code for each of these algorithms is provided (and explained in detail) using Qiskit 2.1. After reading this book, you will understand how quantum algorithms work, how to write your own quantum programs, and how to run them on quantum simulators and actual quantum computers. You will also be prepared to take the jump into quantum algorithms for optimization and artificial intelligence, like those presented in our previous book, A Practical Guide to Quantum Machine Learning and Quantum Optimization. Who is this book for? This book would be ideal for university-level students in Computer Science, Mathematics, Physics or other STEM fields taking introductory-level courses on quantum computing. It also suits professionals, researchers and self-learners with a STEM background. Potential readers of our previous book, A Practical Guide to Quantum Machine Learning and Quantum Optimization, will benefit from first building foundational quantum computing skills with this book. What you will learn Understand what makes a quantum computer unique Mathematically represent the state of multi-qubit systems Describe the effects of measurements in quantum computers Know how quantum superposition, entanglement, and interference work Implement and run any quantum algorithm in Qiskit Understand how Shor's and Grover's algorithms work Gain familiarity with quantum fault-tolerance and quantum advantage
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