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Course Outline

Foundations of Quantum Mechanics

  • Core principles of quantum mechanics
  • Concepts of quantum states and qubits
  • Superposition and entanglement phenomena

Basics of Quantum Computing

  • Construction of quantum circuits and gates
  • Techniques for quantum measurement and qubit control
  • Overview of fundamental quantum algorithms

Quantum Algorithmics

  • Broad overview of key quantum algorithms
  • The Quantum Fourier Transform and its uses
  • Grover's algorithm applied to database searching

Quantum AI and Machine Learning

  • Strategies in quantum machine learning
  • Architecture of quantum neural networks
  • Prospective uses of Quantum AI technologies

Challenges and Future Outlook for Quantum AI

  • Current technical hurdles in Quantum AI development
  • Ethical frameworks and societal implications
  • Emerging trends and future research pathways

Practical Laboratory Project

  • Simulation of quantum algorithms utilizing Qiskit or comparable frameworks
  • Construction of a fundamental quantum machine learning model
  • Collaborative group work to design an innovative Quantum AI application

Requirements

  • Familiarity with linear algebra and the basics of quantum mechanics
  • Proficiency in Python programming

Target Audience

  • Professionals in Artificial Intelligence
  • AI Researchers
 14 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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