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Services d'informatique quantique/en: Difference between revisions
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Revision as of 16:33, 2 October 2024
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== Applications == | == Applications == | ||
Optimization of complex problems is one of the most promising areas for quantum computing in several research areas: | Optimization of complex problems is one of the most promising areas for quantum computing in several research areas: | ||
* Machine learning: quantum computing | * Machine learning: quantum computing could reduce training and processing times; | ||
* Finance: quantum computing | * Finance: quantum computing could speed up portfolio risk assessment and fraud detection; | ||
* Molecular modelling: quantum computing | * Molecular modelling: quantum computing could simulate more complex chemical systems and simulate reactions in real time; | ||
* Meteorology: quantum computing | * Meteorology: quantum computing could increase the number of variables for weather forecasting; | ||
* Logistics: quantum computing | * Logistics: quantum computing could optimize logistics and workflow planning associated with supply chain management. | ||
== Software == | == Software == | ||