This article introduces a novel approach to perform the simulation of a single qubit quantum-inspired algorithm using laser beams. Leveraging the polarization states of photonic qubits, and inspired by variational quantum eigensolvers, we develop a variational quantum-inspired algorithm implementing a clustering procedure following the approach proposed by some of us in SciRep 13, 13284 (2023). A key aspect of our research involves the utilization of non-orthogonal states within the photonic domain, harnessing the potential of polarization schemes to reproduce unitary circuits.
View Article and Find Full Text PDFEthnopharmacology Relevance: Lepidium meyenii Walp. (maca) has been traditionally used for centuries in the Central Andes region both as food and as medicine. In the last decades, its fertility enhancer properties have gained importance, with the majority of the scientific literature related to this topic.
View Article and Find Full Text PDFCoastal regions are sectors where human activities impact the marine ecosystem, and if necessary control measures are not taken, they can generate negative consequences for health and ecosystem services. Within the framework of the Pampa Azul initiative and under the One Health paradigm, the interconnection between the terrestrial and marine environments of the San Jorge Gulf and the adjacent north coast has been studied. In November, 2022, a campaign was carried out aboard the R/V "Mar Argentino" at thirty-four stations near the coast.
View Article and Find Full Text PDFBrazil is a continental country with significant socioeconomic and ethnic inequalities. It is important to understand how these differences are reflected in health care, especially during the COVID-19 pandemic. We investigated the potential impacts of the reduced number Transcranial Doppler Ultrasound (TCD) tests performed in Brazil during the COVID-19 pandemic, and its reflections according to region and race/color for patients with Sickle Cell Disease (SCD).
View Article and Find Full Text PDFHere we present a quantum algorithm for clustering data based on a variational quantum circuit. The algorithm allows to classify data into many clusters, and can easily be implemented in few-qubit Noisy Intermediate-Scale Quantum devices. The idea of the algorithm relies on reducing the clustering problem to an optimization, and then solving it via a Variational Quantum Eigensolver combined with non-orthogonal qubit states.
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