Quantum Computing Training Program

From Quantum Awareness to Quantum Readiness

Fraunhofer IAO | Ludmilla Parsyak
© Fraunhofer IAO | Ludmilla Parsyak

Challenge

Quantum computing represents a significant leap forward in human's ability to process information. Quantum computers can handle complex problems much more efficiently than classical computers. They have the potential to not only solve problems that are currently intractable for classical computers but also to perform certain calculations much faster than today's super computers. For companies, the integration of quantum computing into their business processes holds great potential due to speed and precision advantages. For developers and management to be able to assess the technology, a sound knowledge of possible applications and corresponding algorithms is required. In addition, academic education of the next generation and further training of existing specialists in quantum applications are of great importance. 

Methodology

Participants will learn to assess the key technology of quantum computing, how to deal with it and how to use it in a targeted manner. How do quantum computers work, what principles are their programming based on and why does the so-called "quantum advantage" promise a disruptive change in the IT industry? In the Quantum Lab, participants learn about the phenomena of the quantum world, the differences between today's system architectures and the basics of their programming. Starting from the principles of quantum mechanics, we will embark on an exciting journey towards their industrial use and solve real-world use cases.

Result

The Quantum Computing Training Program aims to provide interactive quantum education for developers, researchers and students. To this end, in-depth knowledge of quantum algorithms is taught and initial programming experience is gained with real quantum computers such as the IBM Quantum System One in Ehningen. The course also addresses issues at management level and provides a far-reaching overview and specific recommendations for action on current trends, market developments and the competitive landscape in the field of quantum computing.

Contents Industry Training

  • Introduction: Quantum Technologies and Ecosystem 
  • Quantum Computers vs. Classical Computers: Challenges and Advantages 
  • QC Fundamentals: Qubits & Co.  
  • Quantum Programming
  • Basic Quantum Algorithms

  • Advanced Quantum Algorithms 
  • Errors in Quantum Computers: Sources and Measures 
  • Quantum Computing Hardware: State-of-the-Art and Challenges 
  • Deep Dive Quantum Hardware Lab: Explanation and Demonstration 

  • Applications I: Hybrid Q-Algorithms  
    • Classification with QML 
    • Optimization with QAOA 
  • Applications II: Pure Q-Algorithms 
    • Quantum Chemistry with QPE 
    • Quantum-enhanced Monte Carlo with QAE 

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