Fundamentals: Schrödinger’s Equation to Deep Learning
N.B. Singh
This audiobook is narrated by a digital voice.
"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."
Duration - 8h 54m.
Author - N.B. Singh.
Narrator - Digital Voice Mary G.
Published Date - Monday, 20 January 2025.
Copyright - © 2024 N.B. Singh ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. "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." Duration - 8h 54m. Author - N.B. Singh. Narrator - Digital Voice Mary G. Published Date - Monday, 20 January 2025. Copyright - © 2024 N.B. Singh ©.
Language:
English
Preface
Duration:00:02:31
Introduction
Duration:00:00:03
The Quantum Revolution
Duration:00:06:24
The Rise of Deep Learning
Duration:00:07:46
Bridging the Gap
Duration:00:04:47
Book Overview
Duration:00:04:47
Quantum Mechanics Fundamentals
Duration:00:00:04
Historical Background
Duration:00:04:22
Wave-Particle Duality
Duration:00:05:29
Schrödinger’s Equation
Duration:00:03:42
Quantum States and Operators
Duration:00:04:52
Measurement and Observables
Duration:00:03:46
Quantum Superposition
Duration:00:03:16
Entanglement and Bell’s Theorem
Duration:00:03:48
Quantum Computing Primer
Duration:00:00:03
Basics of Classical Computing
Duration:00:04:21
Introduction to Quantum Computing
Duration:00:04:24
Quantum Gates and Circuits
Duration:00:03:12
Quantum Algos: Shor’s Algo and Grover’s Algo
Duration:00:03:42
Quantum Error Correction
Duration:00:06:55
Quantum Hardware and Implementations
Duration:00:07:38
Quantum Machine Learning
Duration:00:00:03
Overview of Machine Learning
Duration:00:03:11
Unsupervised Learning
Duration:00:14:48
Quantum Machine Learning Paradigms
Duration:00:09:21
Quantum Feature Spaces
Duration:00:20:37
Quantum Neural Networks
Duration:00:41:43
Quantum Support Vector Machines
Duration:00:15:32
Quantum Generative Models
Duration:00:05:18
Quantum Reinforcement Learning
Duration:00:06:36
Quantum-Inspired Deep Learning
Duration:00:00:04
Quantum-Inspired Convolutional Neural Networks
Duration:00:04:37
Quantum-Inspired Recurrent Neural Networks
Duration:00:04:00
Quantum-Inspired Generative Models
Duration:00:04:31
Quantum-Inspired Reinforcement Learning
Duration:00:04:18
Hybrid Quantum-Classical Approaches
Duration:00:00:04
Variational Quantum Eigensolvers
Duration:00:03:33
Quantum Approximate Optimization Algorithm
Duration:00:04:54
Quantum-Classical Hybrid Neural Networks
Duration:00:04:04
Quantum-Assisted Data Preprocessing
Duration:00:21:52
Quantum-Classical Transfer Learning
Duration:00:05:05
Quantum Reinforcement Learning with Classical Feedback
Duration:00:04:48
Applications of Quantum Deep Learning
Duration:00:00:04
Quantum Chemistry and Drug Discovery
Duration:00:21:08
Quantum Image and Speech Recognition
Duration:00:14:23
Example Workflow for Image and Speech Processing
Duration:00:02:10
Quantum Financial Modeling
Duration:00:01:23
Steps for Portfolio Optimization
Duration:00:07:36
Quantum Natural Language Processing
Duration:00:07:32
Quantum Robotics and Autonomous Systems
Duration:00:06:18
Quantum Computing for Quantum Machine Learning
Duration:00:18:53
Challenges and Future Directions
Duration:00:00:04
Current Challenges in Quantum Deep Learning
Duration:00:04:03
Potential Future Developments
Duration:00:04:44
Ethical and Societal Implications
Duration:00:06:35
Concluding Remarks
Duration:00:04:58
Mathematical Background
Duration:00:00:03
Linear Algebra Basics
Duration:00:15:05
Complex Numbers and Complex Analysis
Duration:00:14:56
Probability Theory and Statistics
Duration:00:20:43
Quantum Mechanics Review
Duration:00:00:03
Recap of Schrödinger’s Equation and Wavefunctions
Duration:00:28:41
Operators and Observables in Quantum Mechanics
Duration:00:52:42
Quantum Measurement and Born’s Rule
Duration:00:11:17
Quantum Entanglement and Bell’s Theorem
Duration:00:04:25
Glossary
Duration:00:07:54