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Fraunhofer IIS
Member since Jul 2011
65 posts
Subject: Student Assistants Quantum Machine Learning
For the »Self-Learning Systems« group in Nuremberg, the Fraunhofer Institute for Integrated Circuits IIS is currently

Student Assistants Quantum Machine Learning

The »Self-Learning Systems« group at Fraunhofer IIS is part of the »Precise Positioning and Analytics« department in
Nuremberg. Our team members have diverse academic backgrounds from computer science, engineering and physics.
One of our research goals is to provide robust and safe algorithmic solutions for control and decision-making tasks in
complex dynamic environments. To achieve this goal, we employ a range of approaches from machine learning and deep
learning in combination with reinforcement-learning techniques. This allows us to generate adaptive decision-making
policies capable of processing high-dimensional state representations, such as camera images and other types of sensor

»Quantum Machine Learning« is an emerging research field at the cross section of artificial intelligence and quantum
computation. Spurred by the recent experimental demonstration of so-called quantum advantage on actual quantum
hardware, the research community has increased its efforts to propose new types of quantum algorithms for the still
imperfect quantum computing devices we have today. At the »Self-Learning Systems« group, we want to explore the
capabilities of adaptive quantum algorithms, so-called variational quantum circuits, for integration into our reinforcementlearning

Your tasks: You …
• will implement and benchmark variational quantum circuits for, e.g., generative learning tasks
• will learn to work with quantum computing frameworks (Qiskit, Cirq, PennyLane, Tensorflow Quantum, …)

Your profile: You …
• are currently enrolled in a physics, mathematics or computer science program
• have some machine learning background and have already worked with machine learning frameworks
• are familiar with the basics of quantum information and quantum computation
• are interested in quantum machine learning
• speak English and/or German fluently

What you can expect from us
• An open and cooperative working environment
• Collaboration in interesting and innovative projects
• Many opportunities to gain practical experience and attend seminars
• Flexibility concerning your working hours

Please apply for this position using the following link:…

Applications are possible in German and English. Please include a cover letter, your CV and
your latest transcripts of records (as PDF) and quote ID number 52725-LV. Address your
application to Nina Wörlein.

Please let us know how you learned about this job opportunity.

Additional information is available on our website:
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