Quantum Algorithms & Applications Scientist

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.

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.

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

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

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.