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, compression, learning, and inference for classical and quantum data. The stipends are within the general study programme Electrical and Electronic Engineering or Wireless Communications, and available from
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Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
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; JSC: Jülich Supercomputing Centre) and from the US (IBM Research and Michigan State University). Specific tasks include: Implement the classical components of the Sample-Based Quantum Diagonalization [1
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
applications have been organized in different steps that interact with each other. The classical first step is to describe the application through a model. Through this model, a first process is operated
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 5 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2025-09275 Requirements Skills/Qualifications Technical skills and level required : knowledge of Rust and C, prior experience with verification of low
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interaction of classical Lewis Pairs (LPs), the SupraCAN project aims to create a new family of catalysts capable of (i) controlled activation (latency) (ii) cooperative activation (high activity) (iii
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to propose a breakthrough bottom-up approach compared to the classical top-down semiconductor way, time and cost consuming. Biocompatible nanocrystals of GaN and In0.25Ga0.75N have been successfully
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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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The overall aim of the project is to resolve the quantum trust challenge where the inherently quantum nature of these devices, being beyond classical simulation, complicates their straightforward validation