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 Duration 14 hours

Course Outline

Basics of Quantum Mechanics

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

Foundations of Quantum Computing

  • Quantum circuits and gate operations
  • Measurement processes and qubit control
  • Introduction to algorithmic design in quantum computing

Quantum Algorithms

  • Survey of key quantum algorithms
  • Quantum Fourier transform and its uses
  • Grover's algorithm for search tasks

Quantum AI and Machine Learning

  • Algorithms for quantum machine learning
  • Quantum neural network architectures
  • Prospective applications of Quantum AI

Challenges and Prospects in Quantum AI

  • Technical hurdles in Quantum AI development
  • Ethical frameworks and societal consequences
  • Emerging trends and future research avenues in Quantum AI

Practical Lab Project

  • Simulating quantum algorithms using Qiskit or equivalent frameworks
  • Building a basic quantum machine learning model
  • Collaborative group work to conceptualize an innovative Quantum AI application

Requirements

  • Familiarity with linear algebra and quantum mechanics fundamentals
  • Proficiency in Python programming

Target Audience

  • AI Professionals
  • AI Researchers

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