Generative AI: Quantum Computing Methods
N.B. Singh
This audiobook is narrated by a digital voice.
Generative AI: Quantum Computing Methods explores the innovative convergence of generative artificial intelligence and quantum computing. This book provides a comprehensive overview of how quantum computing techniques can enhance generative models in AI, offering insights into their applications and potential impacts across various domains. With a focus on bridging theoretical foundations and practical implementations, it serves as a vital resource for researchers and practitioners eager to understand and leverage the transformative possibilities at the intersection of these cutting-edge technologies.
Duration - 18h 42m.
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. Generative AI: Quantum Computing Methods explores the innovative convergence of generative artificial intelligence and quantum computing. This book provides a comprehensive overview of how quantum computing techniques can enhance generative models in AI, offering insights into their applications and potential impacts across various domains. With a focus on bridging theoretical foundations and practical implementations, it serves as a vital resource for researchers and practitioners eager to understand and leverage the transformative possibilities at the intersection of these cutting-edge technologies. Duration - 18h 42m. Author - N.B. Singh. Narrator - Digital Voice Mary G. Published Date - Monday, 20 January 2025. Copyright - © 2024 N.B. Singh ©.
Language:
English
Generative AI: Quantum Computing Methods
Duration:00:00:58
Introduction to Quantum Computing
Duration:00:00:59
History of Quantum Computing
Duration:00:05:23
Classical vs Quantum Computing
Duration:00:05:43
Quantum Bits (Qubits)
Duration:00:05:55
Quantum Superposition
Duration:00:05:17
Quantum Entanglement
Duration:00:05:10
Quantum Computing Models
Duration:00:05:55
Foundations of Generative AI
Duration:00:01:08
Introduction to Generative AI
Duration:00:05:46
Generative Models in AI
Duration:00:06:10
Applications of Generative AI
Duration:00:07:03
Challenges in Generative AI
Duration:00:07:29
Tools and Frameworks for Generative AI
Duration:00:07:41
Future Trends in Generative AI
Duration:00:08:02
Quantum Mechanics for Computer Scientists
Duration:00:01:04
Principles of Quantum Mechanics
Duration:00:07:56
Quantum States and Wave Functions
Duration:00:07:44
Quantum Measurement and Observables
Duration:00:06:09
Quantum Operators
Duration:00:08:53
Uncertainty Principle
Duration:00:05:38
Quantum State Evolution
Duration:00:05:48
Quantum Gates and Circuits
Duration:00:01:05
Basic Quantum Gates
Duration:00:04:45
Quantum Circuit Design
Duration:00:05:06
Gate Decomposition
Duration:00:04:57
Universal Quantum Gates
Duration:00:05:09
Multi-Qubit Gates
Duration:00:05:07
Quantum Circuit Simulation
Duration:00:05:57
Quantum Algorithms
Duration:00:01:17
Introduction to Quantum Algorithms
Duration:00:04:52
Shor’s Algorithm
Duration:00:06:41
Grover’s Algorithm
Duration:00:07:21
Quantum Fourier Transform
Duration:00:07:54
Quantum Search Algorithms
Duration:00:07:08
Quantum Approximate Optimization Algorithm (QAOA)
Duration:00:08:37
Quantum Machine Learning
Duration:00:01:15
Quantum vs Classical Machine Learning
Duration:00:08:59
Quantum Data Representation
Duration:00:08:20
Quantum Feature Spaces
Duration:00:07:42
Quantum Support Vector Machines
Duration:00:06:02
Quantum K-Nearest Neighbors
Duration:00:06:03
Quantum Principal Component Analysis
Duration:00:05:59
Basics of Quantum Information Theory
Duration:00:01:14
Quantum Entropy
Duration:00:05:34
Quantum Mutual Information
Duration:00:06:03
Quantum Channels
Duration:00:06:16
Quantum Cryptography
Duration:00:06:26
Quantum Error Correction
Duration:00:05:53
Quantum Teleportation
Duration:00:05:36
Quantum Generative Models
Duration:00:01:15
Overview of Quantum Generative Models
Duration:00:08:52
Quantum Variational Autoencoders
Duration:00:08:09
Quantum Boltzmann Machines
Duration:00:08:59
Quantum Generative Adversarial Networks
Duration:00:09:50
Quantum State Tomography
Duration:00:10:15
Applications of Quantum Generative Models
Duration:00:11:03
Quantum Data Encoding
Duration:00:01:08
Classical to Quantum Data Encoding
Duration:00:11:01
Quantum Amplitude Encoding
Duration:00:10:35
Quantum Basis Encoding
Duration:00:09:54
Quantum Density Matrices
Duration:00:07:23
Quantum Feature Maps
Duration:00:06:54
Challenges in Quantum Data Encoding
Duration:00:07:01
Quantum Neural Networks
Duration:00:01:15
Introduction to Quantum Neural Networks
Duration:00:07:09
Quantum Neurons and Layers
Duration:00:06:35
Quantum Backpropagation
Duration:00:05:43
Quantum Convolutional Neural Networks
Duration:00:06:19
Quantum Recurrent Neural Networks
Duration:00:06:10
Training Quantum Neural Networks
Duration:00:06:05
Variational Quantum Algorithms
Duration:00:01:21
Introduction to Variational Quantum Algorithms
Duration:00:06:06
Variational Quantum Eigensolver
Duration:00:06:18
Quantum Approximate Optimization Algorithm
Duration:00:06:41
Hybrid Quantum-Classical Optimization
Duration:00:06:09
Applications of Variational Quantum Algorithms
Duration:00:05:56
Challenges in Variational Quantum Algorithms
Duration:00:06:19
Quantum Autoencoders
Duration:00:01:13
Introduction to Quantum Autoencoders
Duration:00:05:47
Quantum State Compression
Duration:00:05:15
Training Quantum Autoencoders
Duration:00:06:57
Applications of Quantum Autoencoders
Duration:00:09:19
Challenges in Quantum Autoencoders
Duration:00:09:23
Future Directions for Quantum Autoencoders
Duration:00:09:02
Introduction to Quantum GANs
Duration:00:07:57
Quantum Discriminators
Duration:00:07:15
Quantum Generators
Duration:00:08:24
Training Quantum GANs
Duration:00:08:48
Applications of Quantum GANs
Duration:00:11:16
Challenges in Quantum GANs
Duration:00:09:32
Introduction to Quantum Boltzmann Machines
Duration:00:07:43
Quantum Energy-Based Models
Duration:00:07:43
Training Quantum Boltzmann Machines
Duration:00:06:31
Applications of Quantum Boltzmann Machines
Duration:00:07:21
Quantum Annealing
Duration:00:06:08
Challenges in Quantum Boltzmann Machines
Duration:00:05:38
Quantum Reinforcement Learning
Duration:00:01:18
Introduction to Quantum Reinforcement Learning
Duration:00:05:53
Quantum States and Actions
Duration:00:05:17
Quantum Reward Functions
Duration:00:05:38
Quantum Policy Gradients
Duration:00:05:44
Training Quantum Agents
Duration:00:06:08
Applications of Quantum Reinforcement Learning
Duration:00:08:34
Applications of Quantum Generative AI
Duration:00:01:22
Quantum AI in Healthcare
Duration:00:09:57
Quantum AI in Finance
Duration:00:10:21
Quantum AI in Material Science
Duration:00:09:51
Quantum AI in Cryptography
Duration:00:07:22
Quantum AI in Drug Discovery
Duration:00:07:02
Case Studies of Quantum Generative AI
Duration:00:07:36
Quantum Hardware and Implementations
Duration:00:01:11
Quantum Hardware Overview
Duration:00:06:41
Superconducting Qubits
Duration:00:06:18
Trapped Ion Qubits
Duration:00:05:12
Photonic Quantum Computing
Duration:00:05:46
Topological Qubits
Duration:00:05:24
Quantum Hardware Challenges
Duration:00:06:37
Noise and Error Correction in Quantum Systems
Duration:00:01:15
Sources of Quantum Noise
Duration:00:06:50
Quantum Error Models
Duration:00:06:19
Quantum Error Correction Codes
Duration:00:06:37
Fault-Tolerant Quantum Computing
Duration:00:06:27
Quantum Error Mitigation Techniques
Duration:00:05:49
Challenges in Quantum Error Correction
Duration:00:06:56
Hybrid Quantum-Classical Systems
Duration:00:01:20
Introduction to Hybrid Quantum-Classical Systems
Duration:00:07:59
Hybrid Algorithms and Protocols
Duration:00:08:08
Classical Computing in Quantum Systems
Duration:00:09:12
Quantum Computing in Classical Systems
Duration:00:10:33
Applications of Hybrid Quantum-Classical Systems
Duration:00:13:00
Challenges in Hybrid Systems
Duration:00:11:35
Quantum Optimization Methods
Duration:00:01:12
Introduction to Quantum Optimization
Duration:00:10:26
Applications in Optimization Problems
Duration:00:07:12
Challenges in Quantum Optimization
Duration:00:07:13
Quantum Computing Platforms and Tools
Duration:00:01:16
Overview of Quantum Computing Platforms
Duration:00:07:22
Quantum Programming Languages
Duration:00:06:41
Quantum Software Development Kits
Duration:00:07:23
Cloud-Based Quantum Computing
Duration:00:07:03
Simulation Tools for Quantum Computing
Duration:00:07:15
Benchmarking Quantum Computing Platforms
Duration:00:07:04
Benchmarking Quantum Generative Models
Duration:00:01:08
Introduction to Benchmarking
Duration:00:06:07
Performance Metrics for Quantum Generative Models
Duration:00:07:05
Benchmarking Techniques
Duration:00:06:32
Comparative Analysis of Models
Duration:00:05:33
Challenges in Benchmarking
Duration:00:06:17
Case Studies in Benchmarking
Duration:00:09:25
Future Directions in Quantum AI
Duration:00:01:11
Emerging Trends in Quantum AI
Duration:00:09:06
Advancements in Quantum Hardware
Duration:00:07:12
New Quantum Algorithms
Duration:00:08:12
Interdisciplinary Research in Quantum AI
Duration:00:07:31
Potential Applications and Innovations
Duration:00:07:45
Challenges and Opportunities in Quantum AI
Duration:00:08:40
Ethical Considerations in Quantum AI
Duration:00:01:08
Ethical Implications of Quantum AI
Duration:00:07:16
Privacy and Security Concerns
Duration:00:06:44
Bias and Fairness in Quantum AI
Duration:00:06:16
Regulatory and Policy Issues
Duration:00:07:21
Responsible Development and Deployment
Duration:00:07:16
Future Ethical Challenges
Duration:00:08:13
Case Studies and Real-World Applications
Duration:00:01:02
Other Real-World Applications
Duration:00:07:26