Fraunhofer IAO | Digital BusinessFrom Quantum Awareness to Quantum Readiness
Quantum Computing Training Program
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
Using three transfer formats, you will learn to assess the key technology of quantum computing according to your requirements, how to deal with it and how to apply it in a targeted manner. The quantum computing training 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. 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.
We offer the following training formats:
Training Offers:
Short Training QC Compact (Management Level)
How does quantum computing (QC) work, what principles is its programming based on and why does the so-called "quantum advantage" promise disruptive change in almost all branches of industry? In our one-day introductory workshop, you will learn about the QC basics, the innovation network with its opportunities and challenges and gain insights into potential applications.
The short training course is aimed at:
People interested in quantum computing, management without prior technical knowledge, politicians, decision-makers, cross-disciplinary enthusiasts
3-day Industry Training
Over four modules, this three-day industry training provides in-depth, practice-oriented knowledge in quantum computing – from basics and hardware to algorithms and applications.
The focus is on going beyond pure fundamentals: participants gain a structured overview of a technology that is still largely research-driven, yet increasingly oriented towards applications, and learn which competencies will be required to integrate quantum computing into existing software and data workflows as the technology matures.
Starting from the principles of quantum mechanics, the course takes participants on a journey towards prospective industrial use and discusses illustrative use cases, for example from quantum chemistry, finance, optimization, and quantum machine learning.
The course is aimed at:
Primarily aimed at developers from industry. It is also open to students, PhD candidates, researchers, and other technically oriented professionals from academia.
5-day Winter School
Over four modules and additional excursions, the five-day Winter School provides a solid foundation in quantum computing – from theoretical basics and hardware to algorithmics and early applications.
The program focuses on a deeper introduction to the principles of quantum mechanics and their implementation in concrete quantum algorithms and programming paradigms. Participants become familiar with different system architectures and software stacks and apply them in hands-on coding sessions.
Building on this, the Winter School discusses use cases linked to prospective industrial application domains, for example in quantum chemistry, finance, optimization, or quantum machine learning. It is particularly aimed at students and researchers who wish to systematically expand their theoretical knowledge and complement it with practice-oriented competencies in quantum computing.
The course is aimed at:
Primarily aimed at students and researchers. It is also open to developers from industry.
Contents Industry Training
Day 1: Basics
- Introduction: Quantum Technologies and Ecosystem
- Quantum Computers vs. Classical Computers: Challenges and Advantages
- QC Fundamentals: Qubits & Co.
- Quantum Programming
- Basic Quantum Algorithms
Day 2: Algorithms and Hardware
- 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
Day 3: Applications
- 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
