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 Duration 14 hours

Course Outline

Introduction to Quantum Mechanics

  • Fundamental principles of quantum mechanics
  • Quantum states and the role of qubits
  • Concepts of superposition and entanglement

Quantum Computing Basics

  • Quantum circuits and gate operations
  • Measurement techniques and qubit control
  • An introductory look at quantum algorithms

Quantum Algorithms

  • Overview of major quantum algorithms
  • The Quantum Fourier transform and its use cases
  • Grover's algorithm for optimized database search

Quantum AI and Machine Learning

  • Algorithms for quantum machine learning
  • Structure and function of quantum neural networks
  • Exploring the potential applications of Quantum AI

Challenges and Future of Quantum AI

  • Technical hurdles facing Quantum AI development
  • Ethical perspectives 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 in a group project to design an innovative Quantum AI application

Requirements

  • A basic understanding of linear algebra and quantum mechanics
  • Familiarity with Python programming

Audience

  • AI professionals
  • AI researchers

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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