Lead Researcher – Quantum Machine Learning
Europe - Hybrid; Germany - Hybrid; Munich, Germany; St Gallen, Switzerland
R
CHF 128K-192K (estimate) Senior-level Full Time
Tasks
- Analyze parametrized quantum circuits
- Build data encoding techniques for quantum computers
- Develop quantum machine learning algorithms
- Implement hybrid quantum classical algorithms
- Improve trainability of parametrized quantum circuits
- Monitor quantum technology and machine learning trends
- Optimize hybrid quantum classical code execution
- Run quantum machine learning on QPUs
- Support industry project research papers
- Translate research into algorithmic software solutions
- Write patent draft applications
- Write research papers for journals
Perks/Benefits
Skills/Tech-stack
Cirq | Classical algorithms | GPU Programming | Hybrid Quantum | Hybrid Quantum Classical | Hybrid quantum-classical algorithms | Machine Learning | Neural Networks | Parametrized Quantum Circuits | PennyLane | PyTorch | Python | Q | QPU | Qiskit | Quantum Algorithms | Quantum Computing | Quantum Machine Learning | Quantum Neural Networks | Quantum circuits | Quipper | Scaffold | TensorFlow | Tket | Variational quantum algorithms
Education
Roles
Lead | Lead Researcher | Research Scientist | Researcher | Scientist
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