Quantum Architecture & Performance Scientist

Quandela; Paris; Sur place; EUR 100 000 - 150 000; Plein temps

Résumé du poste

Quandela's Quantum Information team seeks a scientist with a strong theoretical background in quantum computing to evaluate near‑ and mid‑term architectures, bridging theory, computation, and hardware constraints. You will develop models and numerical tools, explore architecture‑performance trade‑offs, and collaborate with Architecture, FTQC, and Algorithms teams to shape future roadmaps.

Must have a PhD; proficiency in Python; experience with noise modelling and quantum algorithms; fluent

Qualifications

• PhD in a relevant field (Quantum Information, Quantum Computing, Physics, Mathematics or CS) is required.
• Strong expertise in quantum theory areas such as complexity, learning theory, system characterisation, performance analysis or algorithms.
• Experience connecting theory with hardware constraints and numerical modelling.

Responsabilités

• Evaluate and compare near‑ and mid‑term quantum architectures.
• Apply methods from complexity theory, benchmarking and characterisation to assess designs.
• Incorporate realistic noise, native operations and physical constraints into analyses.
• Investigate when architectures offer meaningful computational advantages.
• Develop scientific models and numerical tools for architecture‑performance tradeoffs.
• Study how architecture choices interact with algorithms, resources, and QEC strategies.
• Lead new research projects in architecture design and performance across teams.

Connaissances

Quantum information

Quantum architectures

Python

Numerical simulation

Communication

Formation

PhD in Quantum Information

PhD in Quantum Computing

PhD in Physics

Outils

Python

Matlab

Description du poste

Quandela's Quantum Information team seeks a scientist with a strong theoretical background in quantum computing to evaluate near‑ and mid‑term architectures, bridging theory, computation, and hardware constraints. You will develop models and numerical tools, explore architecture‑performance trade‑offs, and collaborate with Architecture, FTQC, and Algorithms teams to shape future roadmaps.

Must have a PhD; proficiency in Python; experience with noise modelling and quantum algorithms; fluent