Quantum Error Mitigation Scientist

Quandela; Massy; Sur place; EUR 90 000 - 135 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Company savings plan

Health coverage through Alan

Transport reimbursement

Meal vouchers

Gymlib access

Résumé du poste

Quandela is seeking a Quantum Information Scientist focused on Quantum Error Mitigation to advance fault-tolerant photonic quantum computing. You will develop, test and benchmark QEM approaches for photonic architectures, working with Quantum Information, Device Physics and FTQC researchers.

You will build numerical tools, assess trade-offs with QEC, and contribute to performance studies across architectures and applications. Strong Python and scientific communication skills are required.

Qualifications

• PhD in Quantum Information or closely related field.
• Hands-on experience with Quantum Error Mitigation methods.
• Ability to analyze literature and adapt methods to new systems.
• Experience with scientific programming and numerical simulation (Python).
• Strong communication and collaboration across teams.

Responsabilités

• Develop and adapt QEM methods for photonic and spin-photonic architectures.
• Evaluate performance, feasibility and implementation cost of QEM.
• Study interaction between mitigation and Quantum Error Correction across regimes.
• Create prototypes and numerical tools to test approaches.
• Collaborate with FTQC and Device Physics researchers on trade-offs.

Connaissances

Quantum Error Mitigation

Python programming

Numerical simulation

Quantum information theory

English proficiency

Formation

PhD in Quantum Information

Outils

Python

Description du poste

Quandela is seeking a Quantum Information Scientist focused on Quantum Error Mitigation to advance fault-tolerant photonic quantum computing. You will develop, test and benchmark QEM approaches for photonic architectures, working with Quantum Information, Device Physics and FTQC researchers.

You will build numerical tools, assess trade-offs with QEC, and contribute to performance studies across architectures and applications. Strong Python and scientific communication skills are required.