Quantum Tensor Network Scientist

Quandela; Massy; Sur place; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Company savings plan

100% health coverage through Alan

Transport reimbursement

Swile meal vouchers

Gymlib access

Résumé du poste

Quandela seeks a Quantum Information Scientist to develop Tensor Network simulations, applying MPS/PEPS methods to quantum systems and circuits. You will review literature, choose numerical approaches, and build simulations aligned with Quandela hardware and future SPOQC architectures.

The role emphasizes scientific programming in Python/Julia/C++ and collaboration across research teams. Ideal candidates hold a PhD or equivalent and can translate open scientific questions into implementable

Qualifications

• PhD in a relevant field or equivalent research experience.
• Practical experience with Tensor Network methods (MPS/PEPS).
• Experience developing numerical simulations for quantum systems/circuits.

Responsabilités

• Apply Tensor Network methods to classical simulation of quantum systems, circuits and architectures.
• Review literature and select numerical methodologies.
• Develop research-grade simulations tailored to Quandela hardware and future SPOQC architectures.
• Study entanglement growth, noise propagation, and complexity in simulations.
• Create reusable scientific code and document methods for cross-team use.
• Contribute to publications and future research directions.

Connaissances

Tensor Networks

Python/Julia/C++

Open problems

English

Formation

PhD in Physics/Math/CS/Quantum Information

Outils

ITensor

TeNPy

Quimb

Description du poste

Quandela seeks a Quantum Information Scientist to develop Tensor Network simulations, applying MPS/PEPS methods to quantum systems and circuits. You will review literature, choose numerical approaches, and build simulations aligned with Quandela hardware and future SPOQC architectures.

The role emphasizes scientific programming in Python/Julia/C++ and collaboration across research teams. Ideal candidates hold a PhD or equivalent and can translate open scientific questions into implementable