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Artículo
Reinforcement learning for semi-autonomous approximate quantum eigensolver
(IOP Publishing, 2020)
The characterization of an operator by its eigenvectors and eigenvalues allows us to know its action over any quantum state. Here, we propose a protocol to obtain an approximation of the eigenvectors of an arbitrary ...
Artículo
Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design
(Springer, 2021)
The logistic network design is an abstract optimization problem that, under the assumption of minimal cost, seeks the optimal configuration of the supply chain’s infrastructures and facilities based on customer demand. Key ...
Artículo
Quantum Brain Networks: A Perspective
(MDPI, 2022)
We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integratingknowledge and methods from neurotechnology, artificial intelligence, and quantum computing. Theobjective is to develop an enhanced ...