Showcasing a Quantum Recurrent Neural Network model for Time Series predictions, and results obtained for datasets with many variables.
Introduction to Quantum Algorithms: both for foundational algorithms (Shor, Grover, QFT) and for NISQ-era algorithms: Variational Quantum Circuits
This work conducts an analysis and proposes a scalable and sufficiently flexible architecture to address the primary challenges in integrating a quantum computer into a supercomputing center
This work conducts an analysis and proposes a scalable and sufficiently flexible architecture to address the primary challenges in integrating a quantum computer into a supercomputing center.
This work conducts an analysis and proposes a scalable and sufficiently flexible architecture to address the primary challenges in integrating a quantum computer into a supercomputing center.
The Second Quantum Revolution represents a paradigm shift in the encoding, transmission, and processing of information. In the field of telecommunications, the use of Quantum Technologies promises advances in multiple directions.
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.