Worth: $79.99
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A developer-centric take a look at quantum computing.
The demand for builders who can implement options with quantum assets is rising bigger day by day. Constructing Quantum Software program with Python provides you the inspiration you want to construct the software program for the quantum age, and apply quantum computing to real-world enterprise and analysis issues.
In Constructing Quantum Software program with Python you’ll find out about:
• Quantum states, gates, and circuits
• A sensible introduction to quantum algorithms
• Operating quantum software program on classical simulators and quantum {hardware}
• Quantum search, part estimation, and quantum counting
• Quantum options to optimization issues
Constructing Quantum Software program with Python lays out the mathematics and programming strategies you’ll want to use quantum options to actual challenges like sampling from classically intractable chance distributions and large-scale optimization issues. You’ll study which quantum algorithms and patterns apply to several types of issues and the best way to construct your first quantum functions. All of the simulator code you write may be simply transformed to run on actual quantum {hardware}.
Foreword by Heather Higgins.
Buy of the print ebook features a free eBook in PDF and ePub codecs from Manning Publications.
Concerning the know-how
Giant-scale optimization issues, advanced monetary and scientific simulations, cryptographic calculations, and sure forms of machine studying require unreasonably lengthy occasions to run on classical computer systems. Quantum computer systems can carry out some operations like these nearly instantaneously! Don’t wait to get began. This ebook will prime you on quantum functions, implementations, and hybrid quantum-classic designs so that you’ll be prepared to affix the quantum revolution.
Concerning the ebook
Constructing Quantum Software program with Python teaches you the best way to construct working functions that run on a simulator or actual quantum {hardware}. By relating QC to classical computing ideas you already know, this ebook’s intuitive visualizations and code implementations make quantum computing straightforward to know even for those who don’t have a background in superior math. As you go, you’ll uncover and implement quantum strategies for really random sampling, optimization options, unstructured search, and extra—all utilizing easy-to-follow Python code.
What’s inside
• Hype-free discussions of when, the place, and why QC is sensible
• Fixing advanced optimization issues
• Quantum search utilizing Grover’s Algorithm
• Fourier remodel, part estimation, and chance distribution sampling
Concerning the reader
For builders who know Python. No superior math information required.
Concerning the creator
Constantin Gonciulea leads the Superior Know-how group at Wells Fargo and has labored in quantum computing since 2018. Charlee Stefanski is a senior software program engineer at Wells Fargo, the place she leads the event of the interior quantum computing platform.
Desk of Contents
Half 1
1 Benefits and challenges of programming quantum computer systems
2 A primary take a look at quantum computations: The knapsack drawback
3 Single-qubit states and gates
4 Quantum state and circuits: Past one qubit
Half 2
5 Choosing outcomes with quantum oracles
6 Quantum search and chance estimation
7 The quantum Fourier remodel
8 Utilizing the quantum Fourier remodel
9 Quantum part estimation
Half 3
10 Encoding capabilities in quantum states
11 Search-based quantum optimization
12 Conclusions and outlook
Appendixes
A Math refresher
B Extra about quantum states and gates
C Final result pairing methods
Writer : Manning
Publication date : Might 27 2025
Language : English
Print size : 376 pages
ISBN-10 : 1633437639
ISBN-13 : 978-1633437630
Merchandise weight : 544 g
Dimensions : 18.73 x 2.29 x 23.5 cm
Greatest Sellers Rank: #964,067 in Books (See High 100 in Books) #199 in Algorithms Textbooks #798 in Python (Books) #981 in Laptop Algorithms
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