Infineon Technologies AG – Quantum algorithms for combinatorial optimization in a semiconductor supply chain

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At the Supply Chain Innovation department at Infineon Technologies AG you will explore the potential of quantum computers in the applied field of optimization problems. In a small team, you will find mathematical models for optimization problems in Infineon's supply chain, apply current methods for quantum algorithms solving these, and develop further algorithm extensions.

Infineon Technologies AG is a world leader in semiconductor solutions that make life easier, safer, and greener. Infineon develops semiconductors and systems for automotive, industrial, and security products. Infineon’s supply chain planning aims to optimize the delivery of over one million orders daily. To solve this extremely complex task, a combination of manual, heuristic, algorithmic and AI approaches is currently utilized. In the future, quantum computers may make it possible to solve this problem more efficiently.

In order to harness this potential, both an accurate mathematical model of a semiconductor supply chain and subsequent applications of state-of-the-art methods from the field of quantum algorithms are required. Mathematical modelling of the supply chain lays the groundwork for any algorithmic exploration and is essential for understanding the opportunities and limitations of optimization algorithms in this domain. On the algorithmic side, an examination of the current state of the art (quantum and classical), possibly including adaptation of existing methods will ensure that the best possible methods are applied to the chosen use case.

The intern will conduct a thorough modelling of parts of the supply chain management process, with a focus on tasks connected to the allocation of production capacities to external/internal demand. Subsequently, the intern will work towards finding/adapting methods from the domain of quantum computation which are suitable for the chosen use case.

Internship tasks:

  • Gain an understanding of existing supply chain procedures and identify critical junctures and areas for improvement.
  • Develop an accurate mathematical model for the problem area.
  • Analyze available methods from the domains of classical and quantum optimization
  • Conduct tests on the model using state-of-the art optimizers, possibly adapt the methods to yield better results.

Requirements:

The internship is suitable for students with a major in the area of mathematics, physics, computer science or similar. Candidates are expected to have a strong analytical background and an interest in thinking mathematically. Furthermore, candidates must be able to work independently and reliably. Proficiency in MS-Office tools (Word, Excel, PowerPoint), along with proficient English communication and presentation skills, are an essential prerequisite. Programming experience, especially in a quantum SDK (e.g. Qiskit) is very helpful. The candidate must be based in Germany during the time of the internship.

Contact details

Any interested student, please send your application together with your curriculum vitae and transcripts of records via e-mail to Hans Ehm (Hans.Ehm@infineon.com)

Hans Ehm
Supply Chain Innovation

www.infineon.com

 

During the internship, a contract with Infineon Technologies is provided.
Duration: 3-6 months