A. Borras
University of the Balearic Islands
37 Papers
163 Citations
A. Borras is an academic researcher from University of the Balearic Islands. The author has contributed to research in topics: Quantum entanglement & Qubit. The author has an hindex of 12, co-authored 29 publications. Previous affiliations of A. Borras include Delft University of Technology & Spanish National Research Council.
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Papers
Multi-Qubit Systems: Highly Entangled States and Entanglement Distribution
TL;DR: In this article, a comparison of various searching procedures, based upon different entanglement measures, for highly entangled multi-qubits states is made, and the statistical distribution of entanglements for the aforementioned multiqubit systems is explored.
121
Analysis of post-fire suspended sediment sources by using colour parameters
Julián García-Comendador,Núria Martínez-Carreras,Josep Fortesa,A. Borras,Aleix Calsamiglia,Joan Estrany +5 more
TL;DR: In this article, colour parameters were used for source ascription of suspended sediment samples collected during two years after a fire in a small Mediterranean catchment (Mallorca, Spain).
23
Automatic in-syringe dispersive liquid-liquid microextraction of 99 Tc from biological samples and hospital residues prior to liquid scintillation counting
TL;DR: A new approach exploiting in-syringe dispersive liquid–liquid microextraction (DLLME) for 99Tc extraction and preconcentration from biological samples, i.e., urine and saliva, and liquid residues from treated patients is presented.
22
•Posted Content
Jensen Shannon divergence as a measure of the degree of entanglement
TL;DR: In this article, the quantum Jensen Shannon divergence (QJSD) is used as a geometrical measure of entanglement and applied to different families of states, including quantum states.
12
Combining sediment fingerprinting and hydro-sedimentary monitoring to assess suspended sediment provenance in a mid-mountainous Mediterranean catchment
TL;DR: In this article, a Bayesian mixing model (MixSIAR) and an End Member Mixing Analysis (EMMA) were used to predict dominant suspended sediment sources in a mid-mountainous Mediterranean catchment during five hydrological years.
11