Working Student – Quantum Computing / Quantum Circuit Cutting

The »Self-Learning Systems« group at Fraunhofer IIS is part of the »Precise Positioning and Analytics« department and located at the institute’s Nuremberg site. Our team members have diverse academic backgrounds from computer science, engineering and physics. Since 2019 our group has delved into cutting-edge topics within the realm of quantum computing, including quantum machine learning, machine learning for quantum compilation, error correction, and quantum-circuit cutting.
 

The field of »Quantum Circuit Cutting« is an emerging research domain in quantum computing, aiming to make optimal use of available quantum computing resources by partitioning quantum circuits into smaller components that can be evaluated on a quantum computer. Within the »Self-Learning Systems« group, we want to explore automated approaches for circuit partitioning and the selection of the most optimal cutting techniques.
 

You are interested in quantum circuit cutting and would like to develop your quantum computing skills?
 

Then have a look at our offer!
 

What you will do

• You will work on topics related to quantum-circuit cutting
• You will create an overview of the state of the art of automatic quantum circuit partitioning
• You will work with quantum computing frameworks like Qiskit
• You will work with existing and emerging quantum hardware in the Munich Quantum Valley
   

What you can expect

• Flexible working hours
• Open and friendly team work
• Varied tasks with room for creativity
• Exciting seminars and events
• Networking with scientists
• Active contribution in applied research
• Interesting and innovative projects
   

Weekly working hours are determined by agreement. You can start from now on (as a student assistant from 10 to 15 hours a week or as an intern for a period of at least three months). You can reduce your hours before exams and increase them during semester breaks. You can flexibly determine the working days.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity.
 

Interested?

Apply online now (PDF: cover letter, CV, transcripts). We look forward to getting to know you!
 

Svenja Hofmann

Fraunhofer-Institute for Integrated Circuits IIS

www.iis.fraunhofer.de/en
 

Requisition Number: #1684664          
Application Deadline: none                
Location: Nürnberg