Quantum Error-Correction Research Engineer (Remote-friendly)

Inria; Lyon; Hybride; EUR 26 000 - 35 000; Plein temps

Avantages offerts par ce poste

Partial transport reimbursement

7 weeks annual leave + RTT leave

Teleworking 90 days/year

Vocational training

Social security coverage

Cultural and sports events

Résumé du poste

Inria Lyon is seeking a research engineer to develop and evaluate encoding and decoding strategies for noisy quantum systems. The role blends quantum information, numerical simulation, and machine learning to identify robust codes and practical decoders.

You will build computational tools to explore candidate codes, optimize encoding strategies, and design efficient decoders, collaborating with the QINFO team under supervision. A PhD in a relevant field is required.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python programming

Numerical optimization

Linear algebra

Probability

Formation

PhD in CS/Physics/Applied Math/EE

Outils

Python

Machine learning

Scientific computing

Description du poste

Inria Lyon is seeking a research engineer to develop and evaluate encoding and decoding strategies for noisy quantum systems. The role blends quantum information, numerical simulation, and machine learning to identify robust codes and practical decoders.

You will build computational tools to explore candidate codes, optimize encoding strategies, and design efficient decoders, collaborating with the QINFO team under supervision. A PhD in a relevant field is required.