Your responsibilities
The CERN Quantum Technology Initiative (CERN QTI) invites applications for a postdoctoral research position focusing on the theoretical foundations of quantum machine learning (QML) algorithms. This role aims to enhance the understanding and development of trainability, generalization, and robustness of QML algorithms towards the transition from NISQ to FTQC, where the interplay between data encoding and Quantum Singular Value Transformation-like techniques – such as block encoding and Linear Combination of Unitaries (LCU) – is crucial for achieving efficient quantum transformations that exploit the unique properties of quantum mechanics. A special emphasis on potential use cases in high energy physics (HEP) simulations as a direct application is preferred.
Key Responsibilities:
Your profile
Skills/Qualifications:
Eligibility criteria:
Job closing date: 1 December, 2024 at 23:59 CET.
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Target start date: 01-February-2025
Application documents:
This position involves:
Job reference: IT-GOV-INN-2024-182-GRAP
Field of work: Applied Physics
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