Researcher - Quantum Machine Learning & Quantum Information
Germany - Hybrid; Munich, Germany; St Gallen, Switzerland
R
Entry-level Full Time
Tasks
- Analyze parametrized quantum circuits
- Develop quantum data encoding techniques
- Develop quantum machine learning SDK
- Develop quantum machine learning algorithms
- Execute quantum machine learning algorithms on QPUs
- Explore state of the art quantum machine learning
- Improve trainability of parametrized quantum circuits
- Interpret and explain quantum machine learning models
- Optimize hybrid quantum classical machine learning implementations
- Research quantum advantage in machine learning
- Test hybridization approaches for classical and quantum learning
- Write research papers
Perks/Benefits
- Flexible working arrangements
- International team culture
- Personal development plan
- Remote work options
- Supportive work environment
Skills/Tech-stack
Cirq | Information theory | PennyLane | PyTorch | Python | Qiskit | Quantum Algorithms | Quantum Information | Quantum Information Theory | Tensor Networks | TensorFlow | Variational quantum algorithms
Education
N/A
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