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Course Outline

Foundations of Quantum Mechanics

  • Core tenets of quantum mechanics
  • The nature of quantum states and qubits
  • Concepts of superposition and entanglement

Basics of Quantum Computing

  • Structure of quantum circuits and quantum gates
  • Techniques for quantum measurement and qubit control
  • Foundational exposure to quantum algorithms

Quantum Algorithms

  • General overview of quantum algorithmic strategies
  • The Quantum Fourier transform and its utility
  • Application of Grover's algorithm in database searching

Quantum AI and Machine Learning

  • Algorithms for quantum machine learning
  • Architecture of quantum neural networks
  • Real-world potential of Quantum AI applications

Challenges and the Future of Quantum AI

  • Technical barriers facing Quantum AI development
  • Ethical issues and broader societal effects
  • Emerging trends and future research pathways in Quantum AI

Practical Lab Project

  • Simulation of quantum algorithms using Qiskit or equivalent quantum computing platforms
  • Construction of an entry-level quantum machine learning model
  • Group collaboration to design and propose a novel application for Quantum AI

Requirements

  • A solid grasp of linear algebra and the basics of quantum mechanics
  • Proficiency in Python programming

Target Audience

  • AI specialists
  • Researchers in the field of AI
 14 Hours

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