Ramkarthik M. S. - An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing

This first-of-a-kind textbook provides computational tools in state-of-the-art OOPs Python that are fundamental to quantum information, quantum computing, linear algebra and one-dimensional spin half condensed matter systems. Over 104 subroutines are included, and the codes are aided by mathematical comments to enhance clarity. Suitable for beginner and advanced readers alike, students and researchers will find this textbook to be a helpful guide and a compendium which they can readily use.

Features

• Includes over 104 codes in OOPs Python, all of which can be used either as a standalone program or integrated with any other main program without any issues.

• Every parameter in the input, output and execution has been provided while keeping both beginner and advanced users in mind.

• The output of every program is explained thoroughly with detailed examples.

• Detailed mathematical commenting is done alongside the code which enhances clarity about the flow and working of the code.

Dr. M. S. Ramkarthik works as an assistant professor at the Visvesvaraya National Institute of Technology, Nagpur. His interests are in the fields of theoretical physics, especially in quantum computing, quantum information and mathematical and numerical methods in physics. He likes teaching students at all levels. He is also interested in designing and implementing novel and conceptual methods of teaching physics, making it more palatable and interesting for students. He has also authored the book Numerical Recipes in Quantum Information Theory and Quantum Computing: An Adventure in FORTRAN 90 published by CRC Press in September 2021. He is a computer enthusiast and interested in solving mathematical and physics problems using various programming languages.

Dr. Pranay Barkataki is currently a Research Analyst in Sony R&D, Bengaluru, where he is working as a data analyst. He has completed his Ph.D. under the supervision of Dr. M. S. Ramkarthik in the field of quantum entanglement and quantum many-body physics. His research interests are in theoretical physics as well as machine learning and AI.

First edition published 2023

by CRC Press

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2023 M.S. Ramkarthik and Pranay Barkataki

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Library of Congress CataloginginPublication Data

Names: Ramkarthik, M. S., author. | Barkataki, Pranay, author.

Title: An object oriented Python cookbook in quantum information theory and quantum computing / M.S. Ramkarthik and Pranay Barkataki.

Description: First edition. | Boca Raton : CRC Press, 2023. | Includes bibliographical references and index.

Identifiers: LCCN 2022006256 | ISBN 9781032256078 (hardback) | ISBN 9781032258898 (paperback) | ISBN 9781003285489 (ebook)

Subjects: LCSH: Quantum theory--Mathematics--Data processing. | Quantum computing. | Python (Computer program language) | Object-oriented programming (Computer science)

Classification: LCC QC174.17.M35 R36 2023 | DDC 530.120285/53--dc23/eng20220712

LC record available at https://lccn.loc.gov/2022006256

ISBN: 978-1-032-25607-8 (hbk)

ISBN: 978-1-032-25889-8 (pbk)

ISBN: 978-1-003-28548-9 (ebk)

DOI: 10.1201/9781003285489

Typeset in Latin Modern font

by KnowledgeWorks Global Ltd.

Publisher's note: This book has been prepared from camera-ready copy provided by the authors.

To my dear wife, for her motivation, faith, advice, care and support.

M. S. Ramkarthik

Dedicated to my parents Prabin Kumar Barkataki and Late Runumi Barkataki, who not only taught and nurtured me, but also prepared me to face the challenges in life with strong resolve and humility.

Pranay Barkataki

Writing the preface is a ceremonial event for any author. When I wrote the book, Numerical Recipes in Quantum Information Theory and Quantum Computing: An Adventure in FORTRAN 90, published by CRC Press in the year 2021, the committee at CRC Press felt that a Python version of this also would be an interesting read and they encouraged me to undertake the project. With this motivation from CRC Press, and also driven by my own computational urges, I proceeded to author a book which incorporates a plethora of operations and tasks in quantum information, quantum entanglement and spin chain systems in the latest version of the Python programming language. This book was christened as An Object-Oriented Python Cookbook for Quantum Information Theory and Quantum Computing; it is a cookbook because it has a lot of recipes in the aforesaid fields. When I embarked to write this book and develop efficient Python codes, I thought, Why not incorporate the latest data structures in Python like OOPs (Object-Oriented Programming System)? This paved a way to develop codes which not only look clean but also work efficiently.

Python is one of the major tools used by everyone, from software professionals and economists to physicists, chemists, and molecular biologists. The simplicity in syntax and the variety of in-built functions and libraries overshadow its speed compared to other languages. With such superior features and state-of-the-art data structures, OOPs Python was our choice to develop this library. These packages which we have developed can be installed on any computer using a PIP install command without much difficulty. Once it is installed, all the libraries will be in their correct locations (paths) and the users can use the libraries without any problems by following the instructions given in the book. Throughout the book, the SciPy and NumPy libraries are used for invoking certain in-built functions in Python. Another feature of the book is that, for each and every code, we have developed a mathematical way of writing the comments using sophisticated packages so that the user feels at home in every step of the code. This way of developing the comments along the code also has an advantage of establishing a one-to-one mapping between the mathematical nature of the operation and the algorithmic flow in the code as both are quite complementary aspects in solving any problem. At the end of every chapter, a complete example involving a mix of codes from that chapter is illustrated which enhances ones grasp on how to use these codes.