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Quandela is seeking a Quantum Information Scientist to model quantum dot-phonon interactions, develop numerical simulations, and validate results against experiments. You will use Python and FEM techniques to understand noise effects on semiconductor photon sources and contribute to advancing quantum-dot modelling within a leading photonic quantum computing company.
Great emphasis on collaboration with theorists and experimentalists, with potential growth toward C++ for heavier simulations and
Quandela is a global leader in quantum computing, designing, building, and delivering cutting-edge quantum solutions for research and industry. Its offerings include the most energy-efficient quantum computers for data centers, full-stack quantum computing solutions accessible via the cloud, and algorithm access services for academic and industrial customers. Following a pragmatic, step-by-step roadmap, Quandela has been deploying industrial-grade systems since 2023 while developing future generations of fault-tolerant quantum computers capable of scaling through the integration of thousands of photonic components. Quandela is committed to making quantum computing accessible to all in order to address the most complex industrial and societal challenges.
Learn more at: Quandela | Leading Photonic Quantum Computing Solutions
Our ambition is to build large-scale fault-tolerant quantum computers.
Within Scalable Architecture, we model the physical systems behind our technologies to understand their limitations and guide future designs.
You will join our Device Physics team, which develops theoretical and numerical models of Quandela's physical systems in close interaction with experimental teams.
You will focus on quantum dots and their phononic environment, modelling how phonon-induced noise affects our semiconductor photon sources.
Your work will range from calculating phonon spectral densities to integrating these effects into existing source models. The scientific problem and possible approaches are already identified, giving you a strong foundation from which to progressively take ownership of the topic.
As a Quantum Information Scientist working on Quantum Dot Modelling, you will:
Develop numerical models of quantum dot-phonon interactions and phonon-induced noise.
Calculate relevant physical quantities, including phonon spectral densities, and integrate them into existing source models.
Apply finite-element, finite-difference and related numerical methods to semiconductor nanostructures.
Build and run simulations using COMSOL Multiphysics or comparable simulation platforms.
Validate your models against physical expectations, existing models and experimental results.
Develop scientific code primarily in Python, with opportunities to move toward C++ for more demanding simulations.
Use validated models to explore possible improvements in photon-source design and operation.
During your first months:Become familiar with Quandela's quantum-dot systems and develop your first phonon simulations with support from Device Physics and experimental teams.
Within 6-12 months:integrate and validate your work within our wider modelling framework and take increasing ownership of the topic.
Longer term: Explore optimisation strategies, additional physical effects and new research directions around semiconductor quantum systems.
We are looking for a scientist combining strong physical understanding with hands-on numerical modelling experience, ideally in semiconductor, condensed-matter or computational physics.
Direct quantum-computing experience is not required. What matters is your ability to translate a physical problem into a credible numerical model and critically assess its results.
We are open to strong Master's-level profiles with substantial hands-on research experience in numerical modelling. You do not need expertise across every layer of the problem.
Join a research team where theoretical and numerical work directly feeds into experiments and hardware development.
The scientific discussions are intended to understand how you approach a physical modelling problem, choose appropriate numerical methods, assess assumptions and connect simulation results with a real physical system.
Beyond that:
If you enjoy using numerical modelling to understand real physical systems and seeing that work feed into experiments, this role offers the opportunity to deepen your expertise in semiconductor quantum systems while progressively taking ownership of the topic.