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Course Outline

Introduction to Quantum Mechanics

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

Quantum Computing Basics

  • Quantum circuits and quantum gates
  • Quantum measurement and qubit manipulation
  • Overview of quantum algorithms

Quantum Algorithms

  • General overview of quantum algorithms
  • Quantum Fourier transform and its practical applications
  • Grover's algorithm for database search

Quantum AI and Machine Learning

  • Quantum machine learning algorithms
  • Quantum neural networks
  • Real-world applications of Quantum AI

Challenges and Future of Quantum AI

  • Technical hurdles in Quantum AI development
  • Ethical considerations and societal impact
  • Emerging trends and research directions in Quantum AI

Lab Project

  • Simulating quantum algorithms using Qiskit or comparable quantum computing frameworks
  • Building a basic quantum machine learning model
  • Collaborative group project proposing an innovative Quantum AI application

Requirements

  • A solid understanding of linear algebra and quantum mechanics
  • Proficiency in Python programming

Target Audience

  • AI professionals
  • AI researchers
 14 Hours

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