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Quantum Software Engineering: Roadmap and Challenges Ahead
As quantum computers advance, the complexity of the software they can execute increases
as well. To ensure this software is efficient, maintainable, reusable, and cost-effective-key …
as well. To ensure this software is efficient, maintainable, reusable, and cost-effective-key …
Minimial-Risk Training Samples for QNN Training from Measurements
Abstract By using Quantum Neural Networks (QNNs), the principles of quantum computing
can be employed to perform supervised learning on quantum computers. Herein, a unitary …
can be employed to perform supervised learning on quantum computers. Herein, a unitary …
OPTIMALIS® – An AI Framework Tailor-Made for the Needs of the Automotive Industry
F Beutenmüller, V Fäßler, P KS Vaudrevange… - International Stuttgart …, 2024 - Springer
The future success of the automotive OEMs will closely be related to the adaption of artificial
intelligence (AI) in all their domains, eg, in the engineering process, in production, and in the …
intelligence (AI) in all their domains, eg, in the engineering process, in production, and in the …