Develop skills in Python and Quantum Computing by implementing exciting algorithms, mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits.
Key Features:
Book Description:
Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files.
The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning.
By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.
What You Will Learn:
Who this book is for:
The book will help you get started with coding for Python and Quantum Computing.
Basic familiarity with algebra, geometry, trigonometry, and logarithms is required as the book does not cover the detailed mathematics and theory of quantum computing. You can check out the author's Dancing with Qubits book, also published by Packt, for an approachable and comprehensive introduction to quantum computing.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Robert S. Sutor has been a technical leader and executive in the IT industry for over 35 years. More than two decades of that have been spent in IBM Research in New York. During his time there, he worked on and led efforts in symbolic mathematical computation, optimization, AI, blockchain, and quantum computing.
Sutor was an executive on the software side of the business in areas including emerging industry standards, software on Linux, mobile, and open source. He's a theoretical mathematician by training, has a Ph.D. from Princeton University, and an undergraduate degree from Harvard College. He started coding when he was 15 and has used most of the programming languages that have come along.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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