arXiv subjects

A Raya

Publications and source records attributed to A Raya.

3 recordsLinked to original sources

arXiv2023

Supersymmetric Quantum Potentials Analogs of Classical Electrostatic Fields

A relation between classical electrostatic fields and Schrödinger-like Hamiltonians is evidenced. Hence, supersymmetric quantum potentials analogous to classical electrostatic fields can be constructed. Proposing an ansatz for the electrostatic potential as the natural logarithm of a nodeless function, it is demonstrated that the electrostatic fields fulfil the Bernoulli equation associated to a second-order confluent supersymmetric transformation. By using the so-called confluent algorithm, it is possible, given a charge density, to find the corresponding electrostatic field as well as the supersymmetric potentials. Furthermore, the associated charge density and the electrostatic field profile of Schrödinger-like solvable potentials can be determined.

math-ph↗

arXiv2023

High-Order SUSY-QM, the Quantum XP Model and zeroes of the Riemann Zeta function

Making use of the first- and second-order algorithms of supersymmetric quantum mechanics (SUSY-QM), we construct quantum mechanical Hamiltonians whose spectra are related to the zeroes of the Riemann Zeta function $ζ(s)$. Inspired by the model of Das and Kalauni (DK), which corresponds to this function in the strip $0<Re[s]<1$, and taking the factorization energy equal to zero, we use the wave function $|x|^{-S}$, $S\in\mathbb{C}$, as a seed solution for our algorithms, obtaining XP-like operators. Thus, we construct SUSY-QM partner Hamiltonians whose zero energy mode locates exactly the nontrivial zeroes of $ζ(s)$ along the critical line $Re[s]=1/2$ in the complex plane. We further find that unlike the DK case, where the SUSY-QM partner potentials correspond to free particles, our partner potentials belong to the family of inverse squared distance potentials with complex couplings.

math-ph↗

arXiv2017

Bloch oscillations in two-dimensional crystals: Inverse problem

Within an artificial neural network (ANN) approach, we classify simulated signals corresponding to the semi-classical description of Bloch oscillations on a two-dimensional square lattice. After the ANN is properly trained, we consider the inverse problem of Bloch oscillations (BO) in which a new signal is classified according to the lattice spacing and external electric field strength oriented along a particular direction of the lattice with an accuracy of 96%. This approach can be improved depending on the time spent in training the network and the computational power available. This work is one of the first efforts for analyzing the BO with ANN in two-dimensional crystals.

cond-mat.dis-nn↗