Quantum Information Scientist - Architecture & Performance

Quantum Information Scientist - Architecture & Performance
Quandela
Massy or Paris, France

About this position

You will join Quandela’s Quantum Information team within Architecture, working on the evaluation and design of our near- and mid-term quantum architectures.
Your role will sit between quantum theory, computational capability and real hardware constraints. You will develop methods to evaluate architecture concepts, understand their performance and limitations, and help guide future architecture choices.
Depending on your background, you may draw on complexity theory, quantum learning theory, quantum-system characterisation, benchmarking or related areas. You will work closely with our Device Physics, FTQC and Q.Algorithms Team.

Requirements

What you'll do:
As a Quantum Information Scientist working on Architecture & Performance, you will:
Evaluate and compare the capabilities and limitations of near- and mid-term quantum architectures.
Draw on methods from complexity theory, benchmarking, characterisation and related fields to assess different architecture designs.
Incorporate realistic noise, native operations and physical constraints into your analyses.
Investigate when and how different architectures could provide meaningful computational capabilities or advantages.
Develop scientific models and numerical tools to explore architecture-performance trade-offs.
Study how architecture choices interact with algorithms, resource requirements and QEC strategies.
Progressively propose and lead new research projects around architecture design and performance.
You will work across our Architecture team and Algorithms and Applications team, connecting questions from the physical layer to computational capability and potential applications.
What we're looking for
We are looking for a scientist with a strong theoretical background in quantum computing, scientific autonomy and an interest in connecting different layers of the quantum-computing stack.
Must-have:
PhD in Quantum Information, Quantum Computing, Physics, Mathematics, Computer Science or a closely related field.
Strong expertise in one or more relevant areas, such as quantum complexity theory, quantum learning theory, quantum-system characterisation, performance analysis or quantum algorithms.
Experience connecting theoretical or computational questions with realistic implementation, hardware or experimental constraints.
Ability to assess the capabilities and limitations of quantum systems or architectures.
Experience with scientific modelling, numerical simulation and Python-based scientific computing.
Scientific autonomy and ability to structure open-ended research problems.
Collaborative and personable, with the ability to communicate ideas clearly to people from other fields of expertise.
Professional English.
Important, but you can grow here:
Quantum Error Correction and early fault-tolerant architectures.
Hardware-aware algorithm or architecture design.
Quantum benchmarking and performance metrics.
Noise modelling.
Resource and computational-cost analysis.
Collaboration with experimental or hardware-oriented quantum-computing teams.
Bonus:
Quantum compilation or native-gate-aware circuit design.
Photonic quantum computing.
Resource estimation.
Experience comparing quantum approaches against strong classical baselines.
Previous ownership of collaborative research projects.
You do not need to cover every topic above. We welcome both candidates with postdoctoral or equivalent industrial R&D experience and strong recent PhDs demonstrating scientific autonomy.
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Don't forget to mention EuroScienceJobs when applying.
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