Quantum computing and machine learning are key technologies that will significantly change our technological landscape in the coming decades, and in some cases are already doing so today. This module covers the basics of quantum computing, including its most important algorithms with practical application examples.
... know the basic formal concepts of quantum computing (quantum state, bit vs. qubit, measurement).
... can identify the crucial differences between quantum computing and classical computing.
... can describe the fundamental quantum algorithms and the intuitions behind them.
... can identify current challenges in creating and implement basic quantum algorithms.
... can analyze and modify complex quantum algorithms such as Shor's algorithm.
| ORGANIZER | Fraunhofer ITWM Fraunhofer FOKUS Fraunhofer FIT |
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| EVENT TYPE | Training course |
| EVENT LOCATION | MS-Teams |
| Format | Online |
| LANGUAGE | English |
| COURSE DURATION/DAILY Schedule |
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| ACCESS REQUIREMENT | Participants should meet minimum requirements in terms of programming and mathematical knowledge. This includes programming skills in:
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| BRIEF DESCRIPTION OF THE CONTENTS |
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Fraunhofer Academy
