Quantum Recurrent Neural Networks for Time Series Prediction
Showcasing a Quantum Recurrent Neural Network model for Time Series predictions, and results obtained single-variable datasets.
Showcasing a Quantum Recurrent Neural Network model for Time Series predictions, and results obtained single-variable datasets.
Presenting CESGA: our infraestructure, our role in the Galician Quantum Technology Hub, and our participation in various quantum computing projects.
Using the Differential Evolution optimizer to avoid local minima in NISQ-era Variational Quantum Algorithms, such as VQE for the Ising model
The study aims to identify the areas where quantum computing can address problems to optimize the production processes in the automotive sector in Galicia. By identifying potential applications that impact OEMs, suppliers, and their supply chain.