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AI+ Quantum™ Spanish
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Introduction
Course Introduction
Lab Instructions
Audio Book: Introduction AI+ Quantum
Module 1 Introduction to Overview of Artificial Intelligence (AI) and Quantum Computing
1.1 Machine Learning Fundamentals
1.2 Supervised Learning Algorithms
1.3 Unsupervised Learning Algorithms
1.4 Deep Learning Fundamentals
1.5 Introduction to Other Models
1.6 Introduction to Quantum Computing
1.7 Quantum Tunneling, Quantum Entanglement, and Decoherence
1.8 Qubits
1.9 Introduction to Qiskit SDK
1.10 Introductory Tutorial
Module 1: Overview of Artificial Intelligence (AI) and Quantum Computing
Audio Book: Introduction to Overview of Artificial Intelligence (AI) and Quantum Computing
Podcast: Introduction to Overview of Artificial Intelligence (AI) and Quantum Computing
Quiz
Lab Practice 1.1
Python File Download
Module 2 Quantum Computing Gates, Circuits, and Algorithms
2.1 Single-Qubit Gates, Pauli X Gate
2.2 Pauli Y and Z Gates
2.3 Hadamard Gate and Rz Gate
2.4 I, S, and T gate and General U Gates
2.5 Measurement
2.6 Multi-Qubit Systems
2.7 Multi-Qubit Gates, Controlled-NOT Gate
2.8 Controlled-Z Gate
2.9 SWAP Gate, Toffoli Gate, Other Gates (SWAP Gate and Toffoli Gate)
Module 2: Quantum Computing Gates, Circuits, and Algorithms
Audio Book: Quantum Computing Gates, Circuits, and Algorithms
Podcast: Quantum Computing Gates, Circuits, and Algorithms
Quiz
Module 3: Quantum Algorithms for AI
3.1 Deutsch-Jozsa Algorithm: The Classical Solution and Quantum Solution
3.2 Deutsch-Jozsa Algorithm: Phase Kickback and the Quantum Algorithm
3.3 Bernstein-Vazirani Algorithm
3.4 Grover’s Algorithm: The Quantum Solution
3.5 Grover’s Algorithm: The Quantum Algorithm
3.6 Quantum Fourier Transform
3.7 Variational Theory: Principle, VQAs, and Key Concepts
3.8 Variational Theory: Working Overview, Examples, and VQE
3.9 Variational Theory: Principle, VQAs, and Key Concepts
Module 3: Quantum Algorithms for AI
Audio Book: Quantum Algorithms for AI
Podcast: Quantum Algorithms for AI
Quiz
Lab Practice 3.1
Lab Practice 3.2
Python File Download
Module 4: Quantum Machine Learning
4.1 Introduction to Quantum Machine Learning
4.2 Harrow-Hassidim-Lloyd (HHL) Algorithm and Prerequisite Conditions + HHL Algorithm: Definitions & Overview
4.3 HHL Algorithm: State Preparation and Quantum Phase Estimation
4.4 Quantum Classifier Algorithm and Hadamard Classifier
4.5 Quantum One-Class Classifier
4.6 The Quantum Algorithm & Results
4.7 Quantum Support Vector Machines and Quantum Feature Map
4.8 Quantum Kernel, Algorithm, Variational Classifier, and Kernel Estimator
4.9 Quantum k-Nearest Neighbors
Module 4: Quantum Machine Learning
Audio Book: Quantum Machine Learning
Podcast: Quantum Machine Learning
Quiz
Lab Practice 4.1
Python File Download
Module 5: Quantum Deep Learning
5.1 Quantum Neural Networks (QNNs): Overview and Approaches
5.2 QNNs as VQCs
5.3 Working of a QNN
5.4 Quantum Convolutional Neural Networks (QCNNs)
5.5 Quantum Convolution Layer
5.6 Quantum Generative Adversarial Networks (QGANs)
5.7 Practical Implementation of QGANs
5.8 Quantum Recurrent Neural Networks (QRNNs): Design Overview
5.9 Sequence to Sequence Model and QRNN Algorithm
5.10 VAEs: Components and training
5.11 Quantum Variational Autoencoders (QVAEs)
Module 5: Quantum Deep Learning
Audio Book: Quantum Deep Learning
Podcast: Quantum Deep Learning
Quiz
Lab Practice 5.1
Lab Practice 5.2
Python File Download
Module 6: Ethical Considerations
6.1 Risks, Challenges, and Ethics
6.2 Framework and Guidelines: IBM and OECD Approaches
6.3 Framework and Guidelines: Google’s Approach to Responsible AI
6.4 Current Scenario
6.5 Guidelines
6.6 Considerations
Module 6: Ethical Considerations
Audio Book: Ethical Considerations
Podcast: Ethical Considerations
Quiz
Module 7: Trends and Future Outlook
7.1 Current Trends
7.2 Quantum Tools
7.3 Future Predictions
7.4 Quantum Investment Trends
7.5 Canada's Quantum Edge: Xanadu's Global Impact
7.6 Quantum Momentum: Rigetti’s Strategic and Financial Highlights 2023–2024
Module 7: Trends and Outlook
Audio Book: Trends and Future Outlook
Podcast: Trends and Future Outlook
Quiz
Module 8: Use Cases and Case Studies
8.1 Use Cases
8.2 Quantum Sensing
8.3 Quantum Cryptography
8.4 Sustainable Logistics and Financial Optimization
8.5 IBM
8.6 Comparing quantum and classical classifiers
8.7 CERN & WitsQ: Quantum Innovation Hub
8.8 Quantum Machine Learning in KwaZulu-Natal
8.9 Quantinuum
8.10 Rigetti: QML for Weather
Module 8: Use Cases & Case Studies
Audio Book: Use Cases & Case Studies
Podcast: Use Cases and Case Studies
Quiz
Lab Practice 8.1
Python File Download
Module 9: Workshop
9.1 Project – I: QSVM for Iris Dataset
9.2 Project – II: VQC for Iris Dataset
9.3 Bonus: IBM Quantum Computers
Module 9: Workshop
Audio Book: Workshop
Podcast: Workshop
Quiz
Course Summary
Course Summary
AI Agents Quantum
1.1 What Are AI Agents?
1.2 Applications and Trends for AI Agents in Quantum Computing
1.3 Core Characteristics of AI Agents
1.4 Types of AI Agents
1.5 Case Study: AI Agents in Automating Quantum Computing Experiments
Resources
AI+ Quantum Blueprint
AI+ Quantum Detailed Curriculum
AI+ Quantum Tools
AI+ Quantum Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Quantum Examination
AI+ Quantum Examination
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