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Course Outline

Foundations of Quantum Mechanics

  • Core principles of quantum mechanics
  • Quantum states and qubits
  • Concepts of superposition and entanglement

Essentials of Quantum Computing

  • Quantum circuits and gates
  • Qubit manipulation and measurement
  • An introduction to quantum algorithms

Deep Dive into Quantum Algorithms

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

Intersection of Quantum AI and Machine Learning

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

Current Challenges and Future Outlook of Quantum AI

  • Technical hurdles in Quantum AI
  • Ethical implications and societal effects
  • Emerging trends and research paths

Laboratory Project

  • Simulating quantum algorithms using Qiskit or comparable frameworks
  • Constructing a fundamental quantum machine learning model
  • Working in teams to propose an innovative Quantum AI application

Course Wrap-up and Future Directions

Requirements

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

Target Audience

  • AI professionals
  • AI researchers
 14 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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