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Course Outline

Introduction to Quantum Mechanics

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

Quantum Computing Fundamentals

  • Quantum circuits and gate operations
  • Measurement techniques and qubit manipulation
  • Overview of quantum algorithms

Quantum Algorithms

  • General overview of quantum algorithmic approaches
  • The Quantum Fourier transform and its use cases
  • Grover's algorithm for efficient database searching

Quantum AI and Machine Learning

  • Quantum machine learning methodologies
  • Quantum neural network architectures
  • Strategic applications of Quantum AI

Challenges and Future Trajectories of Quantum AI

  • Technical hurdles in the development of Quantum AI
  • Ethical frameworks and societal impact
  • Emerging trends and future research directions in Quantum AI

Lab Project

  • Simulating quantum algorithms using Qiskit or comparable quantum computing frameworks
  • Building a basic quantum machine learning model
  • Collaborating on a group initiative to propose an innovative Quantum AI application

Requirements

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

Target Audience

  • AI professionals
  • AI researchers
 14 Hours

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