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
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- 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.
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- Every parameter in the input, output and execution has been provided while keeping both beginner and advanced users in mind.
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- The output of every program is explained thoroughly with detailed examples.
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- 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.