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Quandela SA in Massy (Paris-Saclay) invites a Quantum Algorithms & Resource Estimation Scientist to evaluate fault-tolerant quantum algorithms for future large-scale photonic quantum computers. You will adapt algorithms to Quandela's spin-photonic architecture and perform resource estimation in collaboration with FTQC, Quantum Information and Architecture teams.
The role emphasizes bridging theory and practical implementation, with opportunities to publish in conferences and contribute to
QuandelaisaEuropeandeeptechscale-up buildingmodular, scalable,energy-efficientphotonicand spin-opticalquantum computers.
Our quantumcomputingplatformisaccessiblebothvia the cloud and on-premises.
With a team of more than 140 people, we develop the entire quantum computing stack, from semiconductor quantum emitters and photonic processors to quantum control systems and algorithms.
Our ambition is to build large-scale fault-tolerant quantum computers capable of solving problems beyond the reach of classical computation.
Achieving this vision requires continuous advances across the full stack, including the design,evaluationand practical application of next-generation quantum algorithms for both today's quantum platforms and tomorrow's fault-tolerant systems.
For this position, you will join the ALPS (Algorithms & Applications) team, where quantum algorithms, applications and hardware architectures come together to explore how quantum computing can create long-term scientific and industrial value across a broad range of application domains.
Working closely with colleagues across the Quantum Acceleration Program, as well as with Quandela's Quantum Information, FTQC, Software and Hardware teams, you will contribute to collaborative R&D projects alongside leading academic, institutional and industrial partners.
Your work will focus on evaluating advanced algorithmic approaches beyond the NISQ era, with a particular emphasis on fault-tolerant quantum algorithms, modern algorithmic primitives and resource estimation.
You will assess the feasibility, scalability and implementation costs of these approaches for Quandela's spin-photonic quantum computing architecture, helping shape future technology roadmaps.
As a Quantum Algorithms & Resource Estimation Scientist, you will contribute to the evaluation,adaptationand practical assessment of advanced fault-tolerant quantum algorithms for future large-scale photonic quantum computers.
Your work will include:
First 3 months:
Develop a solid understanding of Quandela's spin-photonic quantum computing architecture, the FTQC roadmap and the objectives of the Quantum Acceleration Program. Integrate into the ALPS team and contribute to your first research project, building hands-on experience in fault-tolerant quantum algorithms and resource estimation.
Within 6 months:
Take ownership of your project and contribute independently to algorithm evaluation and resource estimation studies. Broaden your involvement acrossadditionalresearch activities within the ALPS team while building strong collaborations throughout the Quantum Acceleration Program.
Within 1 year:
Become a key contributor to Quandela's long-term research on fault-tolerant quantum computing. Drive collaborative R&D initiatives across Quantum Information, FTQC, Software and Architecture teams, contribute to Quandela's scientific visibility through publications, conferences and technical exchanges, and help shape future algorithmic directions through both research and software development.
We are looking for a scientist or engineer with a strong theoretical background in quantum algorithms and fault-tolerant quantum computing. You enjoy bridging advanced algorithmic research with practical questions around scalability, implementation and future quantum computing architectures.
Bonus Points
Process
Beyond That:
At Quandela, we value intellectual diversity, curiosity and initiative. If you're passionate about quantum algorithms, fault-tolerant quantum computing and the future of large-scale quantum applications, we'd love to hear from you, even if you don't meet every listed requirement.