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Working Student - Quantum Computing / Quantum Circuit Cutting
Ver: 114
Día de actualización: 20-10-2024
Categoría: Educación / Entrenamiento Tiempo parcial Pasantía / Nivel de entrada
Industria: Research Services
Posición: Internship
Tipo de empleo: Part-time
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Contenido de trabajo
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
- You are currently enrolled in a physics, mathematics or computer science program
- You are familiar with quantum computing, e.g. you have taken a lecture on this topic
- You are familiar with Python programming and libraries like Qiskit and NumPy
- You speak English fluently
- 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
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
Application Deadline: none Location: Nuermberg
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Plazo: 04-12-2024
Haga clic para postularse como candidato gratuito
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