Quantum Computing

i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
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Quantum AI for the Automotive Industry
The aim of the project is to develop a broad basis of algorithms for AI applications with optimizations on quantum computers.
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Quantum AI for the Automotive Industry
Q-seg: Quantum annealing-based unsupervised image segmentation
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QAL-BP: an augmented Lagrangian quantum approach for bin packing
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Quantum annealing-based algorithm for efficient coalition formation among leo satellites
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Qubit-efficient variational quantum algorithms for image segmentation
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Gcs-q: Quantum graph coalition structure generation
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QuACS: Variational Quantum Algorithm for Coalition Structure Generation in Induced Subgraph Games
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BILP-Q: quantum coalition structure generation
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