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 Duration 14 hours

Course Outline

Foundations of Quantum Mechanics

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

Basics of Quantum Computing

  • Quantum circuits and gate operations
  • Measurement techniques and qubit control
  • Overview of quantum algorithms

Exploring Quantum Algorithms

  • Broad overview of quantum algorithmic approaches
  • The Quantum Fourier transform and its uses
  • Grover's algorithm for search problems

Intersection of Quantum AI and Machine Learning

  • Algorithms for quantum machine learning
  • Architecture of quantum neural networks
  • Strategic applications of Quantum AI

Challenges and the Future of Quantum AI

  • Technical hurdles in Quantum AI development
  • Ethical perspectives and societal consequences
  • Emerging trends and research pathways in Quantum AI

Practical Lab Project

  • Simulating quantum algorithms via Qiskit or comparable frameworks
  • Building a basic quantum machine learning model
  • Group collaboration to propose a novel Quantum AI application

Requirements

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

Target Audience

  • AI professionals
  • AI researchers

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