Quantum Information Scientist

About Quandela:

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.

About this position:

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.

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What you'll do:

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.