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Working Student / Master Thesis / Intern - Quantum Compilation(m/w/x)
Developing ML methods for quantum eigensolvers and circuit cutting at an applied research institute. Foundational quantum computing with Qiskit or PennyLane experience required. Reduced hours before exams, increased hours during breaks.
Requirements
- Studies in physics, mathematics, computer science or related field
- Experience in python programming and basic experience with PyTorch and TensorFlow
- Foundational understanding of quantum computing and experience with Qiskit or PennyLane
- Experience with machine learning algorithms or combinatorial optimization
- Fluent English skills
Tasks
- Develop reinforcement learning methods for variational quantum eigensolvers
- Apply machine learning to solve quantum chemistry problems
- Design and prototype new quantum circuit cutting methods
- Integrate circuit cutting tools into the software stack
- Solve optimization problems resulting from circuit design
- Implement reinforcement learning for quantum error correction codes
- Benchmark resource-efficient approaches to error correction
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Qiskit
- PennyLane
Benefits
Flexible Working
- Flexible working hours
- Individually agreed working hours
- Reduced hours before exams
- Flexible working days
Other Benefits
- Increased hours during breaks
- Master's thesis cooperation
- University selection process assistance
- Mandatory internships
Informal Culture
- Open and friendly atmosphere
Diverse Work
- Diverse tasks
- Pioneering projects
Purpose-Driven Work
- Application-oriented research
Career Advancement
- Post-study career opportunities
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Working Student / Master Thesis / Intern - Quantum Compilation(m/w/x)
Developing ML methods for quantum eigensolvers and circuit cutting at an applied research institute. Foundational quantum computing with Qiskit or PennyLane experience required. Reduced hours before exams, increased hours during breaks.
Requirements
- Studies in physics, mathematics, computer science or related field
- Experience in python programming and basic experience with PyTorch and TensorFlow
- Foundational understanding of quantum computing and experience with Qiskit or PennyLane
- Experience with machine learning algorithms or combinatorial optimization
- Fluent English skills
Tasks
- Develop reinforcement learning methods for variational quantum eigensolvers
- Apply machine learning to solve quantum chemistry problems
- Design and prototype new quantum circuit cutting methods
- Integrate circuit cutting tools into the software stack
- Solve optimization problems resulting from circuit design
- Implement reinforcement learning for quantum error correction codes
- Benchmark resource-efficient approaches to error correction
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Qiskit
- PennyLane
Benefits
Flexible Working
- Flexible working hours
- Individually agreed working hours
- Reduced hours before exams
- Flexible working days
Other Benefits
- Increased hours during breaks
- Master's thesis cooperation
- University selection process assistance
- Mandatory internships
Informal Culture
- Open and friendly atmosphere
Diverse Work
- Diverse tasks
- Pioneering projects
Purpose-Driven Work
- Application-oriented research
Career Advancement
- Post-study career opportunities
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fraunhofer-Institut für Integrierte Schaltungen IIS
Industry
Research
Description
Das Unternehmen ist eines der weltweit führenden Institute für anwendungsorientierte Forschung in den Bereichen Künstliche Intelligenz, Mikroelektronik und Datenerfassung.
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