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# Quantum Information Scientist

- **Company:** Quandela
- **Location:** Orsay, France
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Python (Programming Language), Quantum Computing, Information Technology, Network Support, Hardware Infrastructure
- **Published:** October 4, 2026
- **Apply:** https://startup.jobs/quantum-information-scientist-tensor-network-simulations-quandela-10278846

## About the Role

We are looking for a researcher with practical Tensor Network experience and the autonomy to develop numerical approaches for open research problems.

Relevant backgrounds include computational or quantum many-body physics, quantum information, mathematics and computer science. Previous experience in photonic quantum computing is not required.

Must-have:

 * PhD in Physics, Mathematics, Computer Science, Quantum Information or a closely related field, or equivalent research experience.
 * Practical experience with Tensor Network methods, such as MPS, PEPS or closely related approaches.
 * Experience developing or adapting numerical simulations for quantum systems, circuits or algorithms.
 * Ability to move from an open scientific question to literature review, methodology selection, implementation and validation.
 * Scientific programming skills in Python, Julia and/or C++.
 * Ability to assess the limits of a numerical method, including trade-offs between accuracy, computational cost and scalability.
 * Scientific autonomy and ability to collaborate across different research disciplines.
 * Professional English., * Experience with tools such as ITensor, TeNPy or Quimb.
 * DMRG, TEBD or other Tensor Network techniques beyond MPS / PEPS.
 * Quantum-inspired or dequantised algorithms.
 * Photonic or spin-photonic quantum computing.
 * Experience applying Tensor Networks to architecture evaluation or quantum-advantage studies.

You do not need experience across every application above. Practical Tensor Network expertise, strong numerical reasoning and the ability to develop a method when the path is not predefined are what matter most.

Postdoctoral or equivalent research experience is particularly relevant, while strong recent PhDs with substantial hands-on Tensor Network experience are also encouraged to apply.

## Description

You will work across our Device Physics and Quantum Information teams, bringing practical expertise in Tensor Network methods to develop a new simulation capability at Quandela.

You will apply and adapt approaches such as MPS, PEPS and related methods to quantum systems, circuits and future architectures.

The scientific questions will be defined together with the teams. Your role will be to determine how to address them: identify relevant literature, select numerical methods, develop simulations and assess their limitations.
-, * Apply Tensor Network methods to the classical simulation of quantum systems, circuits and architectures.

 * Investigate scientific questions, review relevant approaches and select suitable numerical methodologies.
 * Develop research-grade simulations adapted to Quandela's hardware and future SPOQC architectures.
 * Study entanglement growth, simulation of complexity and the propagation of physical noise.
 * Explore different hardware configurations and architecture choices through numerical modelling.
 * Simulate quantum algorithms and contribute to comparisons with relevant classical approaches.
 * Develop reusable scientific code and document methods so they can support research across different teams.
 * Contribute to scientific discussions, publications and future research directions around classical simulation., * Classical simulation of quantum circuits or quantum algorithms.
 * Quantum noise modelling.
 * Efficient classical algorithms and benchmarking against classical baselines.
 * Quantum compilation and native-gate-aware simulation.
 * Development of reusable scientific software and collaborative code practices.
 * Experience working with hardware-specific constraints.