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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
  • Quantum measurement and qubit control
  • Overview of quantum algorithms

Quantum Algorithms

  • Summary of key quantum algorithms
  • Quantum Fourier transform and its uses
  • Grover's algorithm for database searching

Quantum AI and Machine Learning

  • Algorithms for quantum machine learning
  • Quantum neural networks
  • Potential real-world applications of Quantum AI

Obstacles and the Future of Quantum AI

  • Technical hurdles in Quantum AI development
  • Ethical aspects and societal effects
  • Upcoming trends and research pathways in Quantum AI

Practical Lab Project

  • Simulation of quantum algorithms using Qiskit or equivalent quantum computing tools
  • Creation of a basic quantum machine learning model
  • Collaborative group project to design a novel Quantum AI application

Requirements

  • Foundational knowledge of linear algebra and quantum mechanics
  • Proficiency in Python programming

Target Participants

  • AI practitioners
  • AI investigators
 14 Hours

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