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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantum Information Scientist - Architecture & Performance H/F - **Company:** Quandela's Quantum Information - **Location:** Paris, France - **Contract:** Permanent contract - **Skills:** Computer Simulation, Python (Programming Language), Quantum Computing, Scientific Computating, Information Technology - **Published:** October 7, 2026 - **Apply:** https://www.hellowork.com/fr-fr/emplois/84099744.html ## About the Role team, connecting questions from the physical layer to computational capability and potential applications.-How you'll grow:During your first 3-6 monthsBecome familiar with Quandela's technologies, architecture roadmap and ongoing research while contributing to existing evaluation and performance studies.Within 1 yearTake increasing ownership of architecture studies, compare different concepts and bring your own scientific perspective to the team.Longer termLead exploratory research projects, propose new architecture directions and contribute to shaping Quandela's future architecture roadmap.--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-havePhD 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 p, 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 p ## Description 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., direct area of expertise and discuss how you would connect it to a broader architecture problem.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, Join a growing quantum-computing company and contribute directly to the research behind future generations of quantum architectures. * Explore open scientific questions grounded in real hardware constraints. * Work across Quantum Information, Device Physics, FTQC and Algorithms. * Take ownership of broad and exploratory research projects. * Contribute to the scientific directions of a growing team., * 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. - How you'll grow: During your first 3-6 months Become familiar with Quandela's technologies, architecture roadmap and ongoing research while contributing to existing evaluation and performance studies. Within 1 year Take increasing ownership of architecture studies, compare different concepts and bring your own scientific perspective to the team. Longer term Lead exploratory research projects, propose new architecture directions and contribute to shaping Quandela's future architecture roadmap.