
An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing
Description
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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.
More details
Other editions
Additional editions


Persons
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.
Content
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
System requirements
File format: PDF
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