Predoc Scientific interests Quantum algorithms Quantum-inspired algorithms Quantum optimization Quantum machine learning Selected publications QAOA pseudo-Boltzmann states, P. Díez-Valle, D.Porras, J.J. García-Ripoll, arXiv:2201.03358 (2022). Quantum variational optimization: the role of entanglement and problem hardness, P. Díez-Valle, D.Porras, J.J. García-Ripoll, Phys. Rev. A 104, 062426 (2021).
Daily Archives: July 20, 2021
3 posts
Quantum algorithms take advantage of quantum phenomena such as entanglement and superposition to solve problems unreachable by classical computers, or to outperform them in the performance of similar tasks. While the applications of quantum computing are wide reaching, we are still in the NISQ era, where noise and small numbers […]