19 citations · 32 across the 7 of their papers we have counts for
7 papers
Decoherence in matter-wave Talbot interference: A hydrodynamic probability-flow analysis
David Navia, Ángel S. Sanz
We investigate the suppression of matter-wave Talbot interference under environmentally induced decoherence. The system is modeled as an atomic beam diffracted by a periodic gratin…
Engineering of self-bending surface plasmon polaritons through Hermite-Gaussian mode expansion
J. Hernández-Rueda, A. S. Sanz, R. Martínez-Herrero
Surface plasmon polaritons have received much attention over the last decades in photonics or nanotechnology due to their inherent high sensitivity to metal surface variations (e.g…
Generalized flux trajectories: New insights into partially coherent Airy beams
A. S. Sanz, R. Martínez-Herrero
The propagation of Airy beams in free space is characterized by being non dispersive, which warrants the shape invariance of their intensity distribution, and self-accelerating alo…
Exploring the nonclassical dynamics of the "classical" Schrödinger equation
David Navia, Ángel S. Sanz
The introduction of nonlinearities in the Schrödinger equation has been considered in the literature as an effective manner to describe the action of external environments or mean…
A quantum trajectory analysis of singular wave functions
A. S. Sanz, L. L. Sanchez-Soto, A. Aiello
The Schrödinger equation admits smooth and finite solutions that spontaneously evolve into a singularity, even for a free particle. This blowup is generally ascribed to the intrins…
Robust quantum metrology with random Majorana constellations
A. Z. Goldberg, J. R. Hervas, Ángel S Sanz +8
Even the most classical states are still governed by quantum theory. A number of physical systems can be described by their Majorana constellations of points on the surface of a sp…
Taming singularities of the quantum Fisher information
Aaron Z. Goldberg, José L. Romero, Ángel S. Sanz +1
Quantum Fisher information matrices (QFIMs) are fundamental to estimation theory: they encode the ultimate limit for the sensitivity with which a set of parameters can be estimated…