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.
購物比價 | 找書網 | 找車網 |
FindBook |
有 1 項符合
An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing的圖書 |
An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing 作者:Ramkarthik 出版社:CRC Press 出版日期:2024-10-04 語言:英文 規格:平裝 / 252頁 / 普通級/ 初版 |
圖書館借閱 |
國家圖書館 | 全國圖書書目資訊網 | 國立公共資訊圖書館 | 電子書服務平台 | MetaCat 跨館整合查詢 |
臺北市立圖書館 | 新北市立圖書館 | 基隆市公共圖書館 | 桃園市立圖書館 | 新竹縣公共圖書館 |
苗栗縣立圖書館 | 臺中市立圖書館 | 彰化縣公共圖書館 | 南投縣文化局 | 雲林縣公共圖書館 |
嘉義縣圖書館 | 臺南市立圖書館 | 高雄市立圖書館 | 屏東縣公共圖書館 | 宜蘭縣公共圖書館 |
花蓮縣文化局 | 臺東縣文化處 |
|
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.
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.
|