Quantum Error Correction Engineer - Remote-Friendly

inria; France; Hybrid; EUR 27.000 - 33.000; Vollzeit

Benefits dieser Stelle

Partial transport cost reimbursement

7 weeks annual leave + RTT days + rare

Teleworking option (90 days/year)

Social, cultural and sports events

Vocational training access

Social security coverage

Zusammenfassung

Inria's QINFO team in Lyon seeks a research engineer to develop and evaluate encoding/decoding strategies for noisy quantum systems. You will identify quantum error-correcting codes and practical decoders, combining quantum information theory with numerical simulation and machine learning.

The role involves building computational tools to explore candidate codes, optimize encoding strategies, and design efficient decoders, with a strong emphasis on reproducible research software and scientific

Qualifikationen

• PhD in computer science, physics, applied mathematics, electrical engineering, or 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 evaluate encoding and decoding strategies for noisy quantum systems.
• 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.
• Maintain well-documented, tested, and reproducible research software.
• Contribute to research discussions, technical reports, and scientific publications.

Kenntnisse

Python programming

Machine learning

Numerical simulation

Collaborative work

Ausbildung

PhD in CS/physics/math/engineering

Tools

Python

Scientific software development

Jobbeschreibung

Inria's QINFO team in Lyon seeks a research engineer to develop and evaluate encoding/decoding strategies for noisy quantum systems. You will identify quantum error-correcting codes and practical decoders, combining quantum information theory with numerical simulation and machine learning.

The role involves building computational tools to explore candidate codes, optimize encoding strategies, and design efficient decoders, with a strong emphasis on reproducible research software and scientific