Fundamentals Schr Dinger S Equation To Deep Learning
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Fundamentals: Schrödinger's Equation to Deep Learning
"Focusing on the journey from understanding Schrödinger's Equation to exploring the depths of Deep Learning, this book serves as a comprehensive guide for absolute beginners with no mathematical backgrounds. Starting with fundamental concepts in quantum mechanics, the book gradually introduces readers to the intricacies of Schrödinger's Equation and its applications in various fields. With clear explanations and accessible language, readers will delve into the principles of quantum mechanics and learn how they intersect with modern technologies such as Deep Learning. By bridging the gap between theoretical physics and practical applications, this book equips readers with the knowledge and skills to navigate the fascinating world of quantum mechanics and embark on the exciting journey of Deep Learning."
Introductory Quantum Computing: A Practical Approach Using Python
Author: Nikhil Ranjan Roy, Kuntal Mukherjee
language: en
Publisher: S. Chand Publishing
Release Date:
Quantum Computing has opened a new orientation in the world of Computing, Security, Networking, Machine Learning and many more allied disciplines. In this extremely dynamic transitional period, Introductory Quantum Computing presents the ideas and concepts of Quantum Computing for learners in a manner that is simple and easy to learn from a gentle introduction to the core topics and, finally, the algorithms, applications, physical realisations and simulation using sophisticated open-source programming language, namely Python programming language and IBM-Qiskit (Cloud Computing based Quantum Computing Platform by IBM). The book covers important topics such as Quantum Mechanical Preliminaries, Quantum Model of Computation, The Quantum Circuit Model, Quantum Supremacy and The Versatility of Quantum Computing thereby providing a significant view of the subject.
Robotic Mechanical Systems Fundamentals
"Robotic Mechanical Systems Fundamentals" serves as a comprehensive guide to understanding the core principles and technological intricacies of robotic systems in today’s rapidly evolving landscape. We offer an in-depth exploration of the mechanical foundations that drive the design, control, and functionality of robots, making it an essential resource for students, researchers, and industry professionals. Our journey begins with a thorough examination of the fundamental concepts and historical developments that shape robotics. Readers will gain insights into the dynamics of robotic systems through the Newton-Euler equations, paving the way for a deeper understanding of the Lagrange formulation, which offers a powerful framework for analyzing robot motion. Focusing on dynamic modeling, we provide a detailed look at the mechanisms governing the behavior of manipulators, emphasizing the complexities involved in designing and controlling robotic arms. Additionally, we address control forces and torques, highlighting strategies to ensure precision and efficiency in robotic actions. With a holistic approach that considers the ethical and societal implications of robotics, "Robotic Mechanical Systems Fundamentals" balances theoretical foundations with practical applications, making it accessible for beginners and valuable for seasoned professionals. Authored by experts, our book equips readers to navigate the fascinating world of robotics, inspiring a deeper appreciation for the technologies that shape our future.