Applying the UniQuE platform to prototype a solution for the WeShareCare Use Case
Daniel Casado-Faulí, Saúl González-Bermejo, Marc Rovira +8 more
The note presents how the UniQuE platform provides a rapid prototyping solution for a use case presented by the WeShareCare service platform and consists of building a decision support system for clinicians to decide what patients can continue their recovery at home. A classical machine learning algorithm, support vector machines, and a quantum algorithm, quantum neural networks, are compared for the solution. Beyond evaluating predictive performance, the analysis emphasizes the significant time efficiency gains offered by UniQuE ; its integrated workflow reduces overall development time by up to 60% compared to conventional methods, thereby streamlining the deployment of classical and quantum solutions.
•May 21, 2025•0 citations