The Computer Architecture Group at UDC and CESGA are developing a proposal focused on assessing the performance of quantum computers in executing applications, based on identifying tasks that are common to multiple quantum computing applications
We calculated the optimal conformation for three 10-amino acid peptide sequences at interfaces with different polarity gradients. The results obtained with our approach using the quantum emulator available at CESGA
Showcasing techniques for parallellizing quantum algorithms, with use cases in Variational Quantum Algorithms: VQE and QAOA.
Showcasing a Quantum Recurrent Neural Network model for Time Series predictions, and results obtained for datasets with many variables
Introduction to Quantum Technologies, such as Quantum Computing, Quantum Communications, and Quantum Ket Distriburion, with a focus in Quantum Cryptography
Introducing methods to simulate entanglement between QPUs in the scenarios of classical communication, and no communication.
Showcasing the Gate Cutting method for Variational Quantum Algorithms, to reduce the number of necessary qubits and the effect of noise. Results for VQE and Ising model.
Using the Differential Evolution optimizer to avoid local minima in NISQ-era Variational Quantum Algorithms, such as VQE for the Ising model.
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