Quantum Information Scientist

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. Before reaching full fault tolerance, intermediate architectures will continue to operate under significant hardware and noise constraints, making error mitigation an important part of understanding and improving their performance.

About this position

You will join Quandela's Quantum Information team within Architecture, working at the interface between quantum information theory, architecture performance and fault-tolerant quantum computing.

The team develops methods to benchmark, characterise and evaluate the computational performance of Quandela's current and future architectures, helping guide hardware and architecture decisions.

We are now looking to build dedicated expertise in Quantum Error Mitigation (QEM).

You will develop and assess mitigation methods adapted to our photonic and spin-photonic systems, working closely with Quantum Information, Device Physics and FTQC researchers.

Your goal will be to understand how QEM can improve computation fidelity and extend the useful depth of quantum circuits, while assessing its cost, limitations and interaction with error correction on realistic architectures.

What you'll do

• Develop and adapt QEM methods for photonic and spin-photonic architectures.
• Evaluate their performance, feasibility and implementation cost.
• Study how mitigation and Quantum Error Correction can complement each other across different operating regimes.
• Use realistic noise models and hardware constraints to assess their impact on computational fidelity and achievable circuit depth.
• Build scientific prototypes and numerical tools to test and compare different approaches.
• Work closely with FTQC and Device Physics researchers on noise, errors and architecture-level trade-offs.
• Contribute to benchmarking and broader performance-analysis activities within the team.
• As methods mature, collaborate with Q.Algorithms and Software teams on application-level studies and implementation.

How you'll grow

During your first 3 months:

Become familiar with Quandela's architectures, noise models and FTQC roadmap, and identify relevant mitigation approaches.

Within 6-12 months:

Develop and test QEM methods adapted to our systems and take increasing ownership of QEM / QEC and performance studies.

Longer term:

Help shape how mitigation is used across future architectures and explore applications of mature methods at algorithm and software level.

What we're looking for

We are looking for a researcher with hands-on experience in Quantum Error Mitigation and an interest in applying quantum-information theory to real quantum-computing systems.

Your background may also include noisy quantum systems, QEC, benchmarking or hardware-aware quantum computing. What matters is that you have already worked directly with mitigation methods and can adapt them to new physical constraints.

Must-have

• PhD in Quantum Information, Quantum Computing, Theoretical Physics or a closely related field.
• Research experience in Quantum Error Mitigation, through the development, analysis or application of mitigation methods.
• Good understanding of noisy quantum systems and how errors affect quantum computations.
• Ability to critically assess scientific literature and adapt existing methods to new systems or architectures.
• Experience with scientific programming and numerical simulation, typically in Python.
• Scientific autonomy
• Collaborative and personable, with the ability to communicate ideas clearly to people from other fields of expertise.
• Professional English.

Important, but you can grow here

• Quantum Error Correction and early fault-tolerant quantum computing.
• Understanding of QEM / QEC trade-offs, including overhead and computational performance
• Hardware-sp