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Course Outline

Introduction to Quantum Mechanics

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

Foundations of Quantum Computing

  • Quantum circuits and quantum gates
  • Measurement processes and qubit control
  • Overview of quantum algorithms

Quantum Algorithms

  • Survey of key quantum algorithms
  • The Quantum Fourier transform and its uses
  • Grover's algorithm for searching databases

Quantum AI and Machine Learning

  • Quantum machine learning techniques
  • Quantum neural networks
  • Emerging applications of Quantum AI

Challenges and the Future of Quantum AI

  • Technical hurdles in the Quantum AI landscape
  • Ethical perspectives and societal influence
  • Emerging trends and research pathways in Quantum AI

Practical Project

  • Simulating quantum algorithms using Qiskit or equivalent quantum computing frameworks
  • Creating a basic quantum machine learning model
  • Collaborating in a group project to design a novel Quantum AI application

Requirements

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

Audience

  • AI professionals
  • AI researchers
 14 Hours

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