AI+ Quantum™
- Tijdsduur
AI+ Quantum™
Startdata en plaatsen
Train IT Now B.V. biedt haar producten standaard aan in de volgende regio's: Amsterdam, Apeldoorn, Drachten, Eindhoven, Groningen, Rotterdam, Utrecht, Zoetermeer
Beschrijving
Harness Quantum Power with AI
* AI + Quantum Integration: Explore Quantum Gates, Circuits, and AI applications
* Advanced Learnings: Includes Quantum Deep Learning and transformative AI methodologies
* Industry-Oriented: Real-world case studies and trend analysis
* Ethical Focus: Learn implications of quantum AI responsibly and efficiently
Module 1: Overview of Artificial Intelligence (AI) and Quantum Computing
* 1.1 Artificial Intelligence Refresher
* 1.2 Quantum Computing Refresher Module 2: Quantum Computing Gates, Circuits, and Algorithms
* 2.1 Quantum Gates and their Representation
* 2.2 Multi Qubit Systems and Multi Qubit Gates Module 3: Quantum Algorithms for AI
* 3.1 Core Quantum…
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Harness Quantum Power with AI
* AI + Quantum Integration: Explore Quantum Gates, Circuits, and AI
applications
* Advanced Learnings: Includes Quantum Deep Learning and
transformative AI methodologies
* Industry-Oriented: Real-world case studies and trend analysis
* Ethical Focus: Learn implications of quantum AI responsibly and
efficiently
Module 1: Overview of Artificial Intelligence (AI) and Quantum
Computing
* 1.1 Artificial Intelligence Refresher
* 1.2 Quantum Computing Refresher Module 2: Quantum Computing
Gates, Circuits, and Algorithms
* 2.1 Quantum Gates and their Representation
* 2.2 Multi Qubit Systems and Multi Qubit Gates Module 3: Quantum
Algorithms for AI
* 3.1 Core Quantum Algorithms
* 3.2 QFT and Variational Quantum Algorithms Module 4: Quantum
Machine Learning
* 4.1 Algorithms for Regression and Classification
* 4.2 Algorithms for Dimensionality and Clustering Module 5:
Quantum Deep Learning
* 5.1 Algorithms for Neural Networks – Part I
* 5.2 Algorithms for Neural Networks – Part II Module 6: Ethical
Considerations
* 6.1 Ethics for Artificial Intelligence
* 6.2 Ethics for Quantum Computing Module 7: Trends and Outlook
* 7.1 Current Trends and Tools
* 7.2 Future Outlook and Investment Module 8: Use Cases & Case
Studies
* 8.1 Quantum Use Cases
* 8.2 QML Case Studies Module 9: Workshop
* 9.1 Project – I: QSVM for Iris Dataset
* 9.2 Project – II: VQC/QNN on Iris Dataset
* 9.3 Bonus: IBM Quantum Computers Optional Module: AI Agents for
Quantum
* 1. What Are AI Agents
* 2. Key Capabilities of AI Agents in Quantum Computing
* 3. Applications and Trends for AI Agents in Quantum Computing
* 4. How Does an AI Agent Work
* 5. Core Characteristics of AI Agents
* 6. Types of AI Agents Tools you will explore
* IBM Qiskit
* D-Wave Leap
* Google TensorFlow Quantum (TFQ)
* Amazon Braket
Exam: 50 questions, 70% passing, 90 minutes, online proctored exam
Instructor-led OR Self-paced course + Official exam + Digital badge
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