- About Quandela:
Quandela is a European deeptech scale-up building modular, scalable, energy-efficient photonic and spin-optical quantum computers.
Our quantum computing platform is accessible both via the cloud and on-premises.
With a team of more than 140 people, we develop our own hardware and software stack ; from semiconductor quantum emitters and photonic processors to quantum control systems and quantum algorithms.
Our ambition is to build large-scale fault-tolerant quantum computers capable of solving problems beyond the reach of classical computation, using Quandela’s cutting-edge quantum dot technology.
Achieving this vision requires not only advances in hardware and fault tolerance, but also the identification, evaluation and development of quantum algorithms that can deliver practical value on future fault-tolerant quantum computers.
- About this position:
You will join the ALPS (Algorithms & Applications) team.
The team works at the intersection of quantum algorithms, applications and hardware architectures, helping identify how quantum computing can tackle scientific and industrial domains. To achieve this, it collaborates closely with Quandela's Fault-Tolerant Quantum Computing, Software and Hardware teams, as well as external research and industrial partners.
For this position, you will focus on fault-tolerant quantum algorithms and contribute to strategic R&D initiatives aimed at evaluating advanced quantum algorithms for future large-scale photonic quantum computers.
- What You'll Do:
As a Quantum Algorithms & Application Scientist, you will help evaluate the applicability of advanced quantum algorithms for future fault-tolerant photonic quantum computers, with a particular focus on resource estimation and architectural constraints.
Your work will include:
- Explore modern algorithmic primitives such as Block-Encoding, QSP, QSVT, Qubitization and Hamiltonian Simulation within realistic fault-tolerant quantum computing architectures.
- Adapt quantum algorithms and workflows to Quandela's spin-optical quantum computing architecture.
- Evaluate advanced fault-tolerant quantum algorithms and their potential for future large-scale quantum computing applications.
- Perform resource estimation studies to assess the feasibility and scalability of quantum algorithms.
- Collaborate with FTQC researchers and other technical teams to connect algorithmic requirements with architectural constraints.
- Contribute to strategic R&D projects involving industrial and institutional partners.
- Monitor scientific advances in quantum algorithms and assess their relevance to Quandela's roadmap.
- Communicate research findings through reports, publications, conferences and technical discussions.
- How You Will Grow?
First 3 months:
Build a strong understanding of Quandela's spin-photonic quantum computing architecture, previous Resource Estimation work, FTQC roadmap and ongoing R&D projects. Contribute independently to algorithm evaluation and resource estimation activities.
Within 6 months:
Technically lead projects on resource estimation. Propose algorithms tailored to Quandela’s spin-photonic architecture. Act as a link between the arhcitecture team and the algorithm team.
Within 1 year:
Become a key contributor to the assessment and adaptation of advanced quantum algorithms for future fault-tolerant spin-photonic quantum computing applications. Make suggestions to impact FTQC architecture roadmap. Contribute to software development
- Ideal Profile:
We are looking for a scientist or engineer with a strong background in quantum algorithms and a genuine interest in fault-tolerant quantum computing, capable of bridging advanced theoretical concepts with practical applications.
- MSc, PhD or equivalent experience in Physics, Mathematics, Computer Science, Quantum Information, Quantum Computing, or a related field.
- Background in quantum algorithms, quantum information, FTQC or related topics.
- Familiarity with modern fault-tolerant algorithmic primitives and frameworks, such as Block-Encoding, QSP, QSVT, Hamiltonian Simulation, or related approaches.
- Interest in resource estimation, quantum compilation, or architecture-aware algorithm design.
- Experience with scientific programming and numerical simulations.
- Ability to analyze scientific literature and assess the practical relevance of research advances.
- Strong communication and collaboration skills.
- Comfortable working in multidisciplinary and fast-evolving environments.
- Fluent in English (French is not required).
Bonus Points
- Experience with resource estimation for fault-tolerant quantum computing.
- Familiarity with photonic quantum computing or architecture-specific algorithm analysis.
- Experience working with industrial partners or collaborative R&D projects.
- Experience communicating scientific results through publications, conferences, or technical presentations.
- Interest in bridging advanced research with practical applications.
- Flexible working environment across our Paris/Massy offices.
- Profit-sharing and a company savings plan.
- Public transport subscription covered at 50%.
- Annual sustainable mobility bonus for eco-friendly transport (e-bike, electric car).
- Fully covered health insurance (Alan).
- Referral program (€1,000 for a junior and €2,000 for an experienced candidate).
- Access to a nursery via choisir-ma-creche or contribution to childcare expenses.
- Subsidy for gym membership and sports activities (Gymlib).
- Meal subsidies (Swile).
Process
- Talent Acquisition Interview (30' - 45')
- Hiring Manager Interview (45' - 60')
- Reference checks
- Technical discussion and presentation of previous research work
- Meeting with the team and scientific discussion around fault-tolerant quantum algorithms and applications
- Offer
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.
If you're excited by the challenge of bridging advanced research, practical applications and future quantum computing technologies, let's talk.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The evolution of fault-tolerant quantum computing architectures demands a structural shift from basic hardware benchmarking to hardware-aware algorithmic design. Within the deep-tech value chain, the role of a Quantum Algorithms and Applications Scientist exists to resolve the foundational mismatch between abstract mathematical primitives and the physical constraints of evolving physical systems. By establishing rigorous resource estimation protocols, this function translates theoretical quantum advantage into deterministic engineering requirements, mitigating the systemic risk of capital misallocation. Industry tracking data indicates that as the sector transitions toward multi-qubit systems, the primary operational bottleneck has shifted to the software-hardware interface layer. Consequently, this expertise serves as a critical stabilization point, ensuring that long-term research initiatives yield reproducible, industrially relevant computational kernels rather than isolated proofs of concept.
Current industry focus lies on bridging classical and quantum capabilities at scale. Within the broader quantum computing value chain, the software and algorithm layer is undergoing significant formalization as organizations realize that hardware scaling alone cannot guarantee commercial utility. Macro constraints within this domain are characterized by a pronounced fragmentation of toolsets and a lack of standardized benchmarking methodologies, which complicates the deployment of hybrid classical-quantum workflows. Furthermore, the ecosystem faces substantial infrastructure dependencies, particularly regarding the integration of specialized accelerators into existing high-performance computing centers and cloud networks.
Workforce dynamics highlight a critical need for domain-specific experts who possess an understanding of both quantum information theory and practical systems architecture. Rather than relying on generic software development models, the sector requires deep-tech entities to cultivate highly specialized translation pathways. These pathways ensure that abstract breakthroughs in fault-tolerant quantum computing are immediately systematically evaluated against real-world hardware limits, such as optical path losses or spin-coherence thresholds. This role category directly addresses these vulnerabilities by establishing a predictable framework for software lifecycle practices.
As public funding cycles and private capital injections become increasingly dependent on clear Technology Readiness Level progression, the stabilization of this algorithmic layer is paramount. Interoperability across disparate vendor platforms remains a long-term risk, which can only be mitigated by researchers who design algorithms with explicit architectural constraints in mind. This systemic alignment ensures that upcoming computational networks can scale efficiently, reducing the validation timeline for external industrial and institutional partners.
The capability architecture for this role type centers on the mastery of advanced algorithmic frameworks, specifically focusing on modern primitives such as block-encoding, quantum signal processing, and the quantum singular value transform. These advanced mathematical frameworks are necessary for structuring complex operators on physical systems without causing premature decoherence or excessive gate overhead. Additionally, expertise in rigorous resource estimation and quantum compilation techniques is critical for establishing exact physical-to-logical qubit ratios and execution timelines, which directly dictates the viability of any given application.
These technical domains are essential for maintaining the operational throughput of deep-tech organizations, as they enable the parallelization of hardware development and algorithmic optimization. By creating high-fidelity numerical simulations of noisy environments, this function provides the analytical leverage required to evaluate software stack maturity before the physical infrastructure is fully deployed. This cross-functional coupling bridges the gap between theoretical physics groups and systems engineering teams, enhancing the overall reproducibility of hybrid workflows. - Accelerates the deterministic translation of fault-tolerant algorithmic research into viable industrial applications
- Mitigates architectural execution risks by establishing precise resource estimation metrics for next-generation hardware
- Enhances the computational throughput of deep-tech platforms through the implementation of optimized block-encoding frameworks
- Minimizes integration friction between abstract quantum information software and physical systems engineering protocols
- Facilitates the standardization of performance benchmarking metrics across fragmented hardware modalities
- Supports the orderly progression of technology readiness levels by providing verifiable algorithm verification models
- Optimizes capital allocation strategies by mapping exact physical resource requirements for targeted commercial use cases
- Strengthens the reliability of hybrid classical-quantum workflows within high-performance computing infrastructures
- Reduces iteration cycles between core physics discoveries and scalable software stack updates
- Decouples algorithmic design from specific hardware dependencies to improve long-term platform interoperability
- Protects intellectual property investments by converting theoretical advantage into reproducible technical execution blueprints
- Stabilizes the emerging quantum-as-a-service value chain by providing predictable performance specifications for enterprise consumersIndustry Tags: Quantum Information Science, Fault-Tolerant Quantum Computing, Resource Estimation, Quantum Algorithm Design, Photonic Architectures, Spin-Optical Systems, Quantum Software Engineering, Hybrid Workflows
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