AI+ Quantum AT-410

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

AI+ Quantum AT-410

Virtual Instructor Led Online Schedule

Virtual Instructor-Led Online Training

Duration

5 Day

Price

$3,995.00

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Virtual Instructor-Led Online Training

Duration

40 Hours (Self-Paced)

Price

$495.00

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Interested in group training?

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Schedule Course Outline

Course Schedule

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Course Outline

  • Quantum Computing Engineers: Enhance quantum system design and performance using AI for optimization and control. 
  • Physics Engineers: Apply AI techniques to improve quantum simulations and computational models. 
  • AI Specialists: Leverage AI and quantum algorithms to create intelligent solutions for complex problems. 
  • IT Specialists & System Integrators: Integrate AI-driven quantum computing systems to optimize infrastructure and solve large-scale challenges. 
  • Students & New Graduates: Gain foundational skills in AI and quantum computing to excel in the rapidly advancing quantum technology field. 
  • A foundational knowledge of AI concepts, no technical skills are required. 
  • Willingness to exploring unconventional approaches to problem-solving within the context of AI and Quantum. 
  • Openness to engage critically with ethical dilemmas and considerations related to AI technology in quantum practices. 
  • Quantum Circuit Design
  • Quantum Simulation Techniques
  • Quantum Cryptography
  • Quantum Optimization Methods
  • Quantum Information Theory
  1. 1.1 Artificial Intelligence Refresher 
  2. 1.2 Quantum Computing Refresher 
  1. 2.1 Quantum Gates and their Representation 
  2. 2.2 Multi Qubit Systems and Multi Qubit Gates 
  1. 3.1 Core Quantum Algorithms 
  2. 3.2 QFT and Variational Quantum Algorithms 
  1. 4.1 Algorithms for Regression and Classification 
  2. 4.2 Algorithms for Dimensionality and Clustering 
  1. 5.1 Algorithms for Neural Networks – Part I 
  2. 5.2 Algorithms for Neural Networks – Part II 
  1. 6.1 Ethics for Artificial Intelligence 
  2. 6.2 Ethics for Quantum Computing 
  1. 7.1 Current Trends and Tools 
  2. 7.2 Future Outlook and Investment 
  1. 8.1 Quantum Use Cases 
  2. 8.2 QML Case Studies 
  1. 9.1 Project – I: QSVM for Iris Dataset 
  2. 9.2 Project – II: VQC/QNN on Iris Dataset 
  3. 9.3 Bonus: IBM Quantum Computers 
  1. 1. What Are AI Agents
  2. 2. Key Capabilities of AI Agents in Quantum Computing
  3. 3. Applications and Trends for AI Agents in Quantum Computing
  4. 4. How Does an AI Agent Work
  5. 5. Core Characteristics of AI Agents
  6. 6. Types of AI Agents

Virtual Instructor-Led Online Training

Duration

5 Day

Price

$3,995.00

Contact Us

Virtual Instructor-Led Online Training

Duration

40 Hours (Self-Paced)

Price

$495.00

Contact Us

Interested in group training?

Contact Us