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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
1. Introduction to Python and Object Oriented Programming 2. Basic Quantum Mathematics Tools 3. Numerical Linear Algebra Operations 4. Quantum Information and Quantum Computation Tools 5. Quantification of Quantum Entanglement 6. One-Dimensional Quantum Spin-1/2 Chain Models 7. Generating Random Matrices and Random Vectors
1. Introduction to Python and Object Oriented Programming 2. Basic Quantum Mathematics Tools 3. Numerical Linear Algebra Operations 4. Quantum Information and Quantum Computation Tools 5. Quantification of Quantum Entanglement 6. One-Dimensional Quantum Spin-1/2 Chain Models 7. Generating Random Matrices and Random Vectors
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