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 Duration 14 hours

Course Outline

Introduction to Quantum Mechanics

  • Core principles of quantum mechanics
  • Quantum states and qubits
  • Superposition and entanglement concepts

Quantum Computing Foundations

  • Quantum circuits and gate operations
  • Measurement processes and qubit control
  • Foundational concepts in quantum algorithms

Quantum Algorithms

  • Overview of major quantum algorithms
  • The Quantum Fourier transform and its use cases
  • Grover's algorithm for database searching

Quantum AI and Machine Learning

  • Algorithms for quantum machine learning
  • Architecture of quantum neural networks
  • Key application areas for Quantum AI

Challenges and the Future of Quantum AI

  • Technical hurdles in Quantum AI development
  • Ethical frameworks and societal impact
  • Emerging trends and research pathways in Quantum AI

Lab Project

  • Simulating quantum algorithms using Qiskit or comparable quantum computing frameworks
  • Building a basic quantum machine learning model
  • Collaborative group work to propose innovative Quantum AI applications

Requirements

  • A foundational grasp of linear algebra and quantum mechanics
  • Proficiency in Python programming

Target Audience

  • AI professionals
  • AI researchers

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