Research Engineer in Quantum Error Correction

Inria Lyon; Lyon; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Inria Lyon in the QINFO team is seeking a research engineer to develop and evaluate encoding and decoding strategies for noisy quantum systems. The role aims to identify quantum error-correcting codes and practical decoders while blending quantum information, numerical simulation, and machine learning.

Collaborating closely with the research team, you will build computational tools to explore candidate codes, optimize encoding strategies, and design efficient decoders, contributing to

Qualifikationen

• PhD in computer science, physics, applied mathematics, electrical engineering, or a related field.
• Strong programming skills, particularly in Python, and experience developing scientific software.
• Solid foundation in linear algebra, probability, and numerical optimization.

Aufgaben

• Develop and implement methods to search for quantum error-correcting codes and encoding strategies for different noise models.
• Design and benchmark decoding algorithms, including approaches based on machine learning.
• Build numerical simulations to evaluate performance under noise and assess computational cost and scalability.
• Implement optimization methods to improve code and decoder performance.
• Maintain well-documented, tested, and reproducible research software.
• Contribute to research discussions, technical reports, and scientific publications.

Kenntnisse

Python programming

Numerical optimization

Scientific software development

Ausbildung

PhD in computer science, physics, applied mathematics, electrical engineering, or related field

Jobbeschreibung

Context

In the QINFO team in Lyon under the supervision of Omar Fawzi.

Assignment

We are seeking a research engineer to develop and evaluate encoding and decoding strategies for noisy quantum systems. The goal is to identify quantum error-correcting codes and practical decoding methods that protect quantum information under realistic noise models. The position combines quantum information, numerical simulation, and machine learning. Working closely with the research team, the successful candidate will build computational tools to explore candidate codes, optimize encoding strategies, and design efficient decoders.

Main activities

• Develop and implement methods to search for quantum error-correcting codes and encoding strategies adapted to different noise models.
• Design and benchmark decoding algorithms, including approaches based on machine learning.
• Build numerical simulations to evaluate performance under noise and assess computational cost and scalability.
• Implement optimization methods to improve code and decoder performance.
• Maintain well-documented, tested, and reproducible research software.
• Contribute to research discussions, technical reports, and scientific publications.

Skills

• A PhD in computer science, physics, applied mathematics, electrical engineering, or a related field.
• Strong programming skills, particularly in Python, and experience developing scientific software.
• A solid foundation in linear algebra, probability, and numerical optimization.