Quantum AI Workshop
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On November 30, 2023, from 7:00 PM to 9:30 PM, LIVE on Youtube ▶️

  • Discover the power of QC and AI

    Join us for an insightful journey exploring fundamental concepts of quantum computing, delving into quantum algorithms for machine learning, and discovering practical applications in Quantum AI. Dive into the cutting-edge realm where quantum computing meets artificial intelligence, unraveling the latest advancements in this swiftly evolving field.

  • Hands-On Labs and Exercises:

    Brace yourself for hands-on coding exercises, where you'll gain firsthand experience implementing quantum algorithms using industry-standard frameworks.

  • Skills of Tomorrow

    This workshop promises to be an enriching learning experience, making it a must-attend for students and faculty eager to stay ahead in the realms of quantum technologies and their impact on artificial intelligence.

Webinar Poster

List of Contents

  • Introduction to Quantum Computing

    - Overview of classical vs. quantum computing
    - Basics of quantum mechanics and qubits
    - Quantum gates and circuits

  • Quantum Machine Learning Foundations

    - Quantum states and superposition
    - Quantum parallelism in machine learning
    - Quantum versions of classical algorithms

  • Quantum Algorithms for Machine Learning

    - Quantum support vector machines
    - Quantum clustering algorithms
    - Quantum neural networks

  • Quantum Optimization

    - Quantum annealing
    - Quantum algorithms for optimization problems
    - Applications in machine learning and AI

  • Quantum Entanglement in AI

    - Understanding entanglement
    - Quantum correlations and their applications in AI
    - Quantum teleportation and its implications

  • Quantum Error Correction in AI

    - Basics of quantum error correction
    - Quantum error correction codes
    - Implementing error correction in quantum machine learning

  • Quantum AI Applications

    - Quantum-enhanced algorithms for data analysis
    - Quantum-enhanced optimization in AI
    - Case studies and real-world applications

  • Future Directions and Emerging Technologies

    - Current challenges and open problems in Quantum AI
    - Quantum computing and AI research trends
    - Ethical considerations in Quantum AI