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From the Publisher Key Takeaways: - Understand the math behind quantum computing - Know how quantum algorithms work - Separate hype from real progress - Take advantage of the potential applications of quantum computing
What's new in this edition? - I've added two new chapters, "Considering NISQ Algorithms" and "Quantum Machine Learning", providing an introduction to these active research areas. - I've also incorporated feedback from students, quantum computing experts, and readers of the first edition. I improved algorithm descriptions, added new topics like quantum benchmarks, and expanded sections on 1-qubit and 2-qubit gates, interference, and phase kickback. There are exercises to make the book better for teaching and self-education.
Brand new chapters New and expanded topics Improved descriptions Additional exercises
Why is now a good time to learn about quantum computing? - Quantum computing and AI are two of the most critical computing areas today. While our quantum systems are only starting to scale and improve for commercial use, we must prepare. Quantum computing is hard! - Quantum computing differs significantly from how we code for our phones, laptops, and cloud computers. If we don't have more people learning about quantum computing now, we will face a substantial quantum workforce shortfall, and the societal advantages quantum brings will be delayed.
What makes this book on quantum computing different from others? - You don't need a degree in physics to understand this book. While this is sometimes true of other books, I think they often require mathematical prerequisites that students may not have or don't remember. - I wrote this book imagining I was standing next to a student at a whiteboard, answering any questions students might have, encouraging them to understand not just the "what" of quantum computing but the "why."
Dancing with Qubits Add to Cart See Details Customer Reviews 5.0 out of 5 stars 19 4.5 out of 5 stars 208 Price $55.09 $39.89 Edition Second edition First edition Topic Quantum computing from a mathematical perspective, including NISQ algorithms and quantum machine learning A mathematical treatment of quantum computing Who This Book Is For Those new to quantum computing, without mathematics or physics degrees Those new to quantum computing, without mathematics or physics degrees
product information:
Attribute | Value | ||||
---|---|---|---|---|---|
publisher | ‎Packt Publishing; 2nd ed. edition (March 28, 2024) | ||||
language | ‎English | ||||
paperback | ‎684 pages | ||||
isbn_10 | ‎1837636753 | ||||
isbn_13 | ‎978-1837636754 | ||||
item_weight | ‎2.6 pounds | ||||
dimensions | ‎1.44 x 7.5 x 9.25 inches | ||||
best_sellers_rank | #200,487 in Books (See Top 100 in Books) #17 in Artificial Intelligence (Books) #28 in Machine Theory (Books) #187 in Computer & Technology Certification Guides | ||||
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