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researcher

A. Abdelwahab

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el3
  • quant-ph1
same name
  • A. Abdelwahab — 2 papers, h 9
  • A. Abdelwahab — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedThe concealment of accelerated information is possible

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

cond-mat.str-el2021

Effective narrow ladder model for two quantum wires on a semiconducting substrate

Anas Abdelwahab, Eric Jeckelmann

We present a theoretical study of two spinless fermion wires coupled to a three dimensional semiconducting substrate. We develop a mapping of wires and substrate onto a system of t…

cond-mat.str-el2021

Magnetic properties of alternating Hubbard ladders

Kaouther Essalah, Ali Benali, Anas Abdelwahab +2

We investigate the Hubbard Hamiltonian on ladders where the number of sites per rung alternates between two and three. These geometries are bipartite, with a non-equal number of si…

quant-ph2020★ 1 cited

The concealment of accelerated information is possible

A. G. Abdelwahab, Nasser Metwally, M. H. Mahran +1

The possibility of masking an accelerated two-qubit system by using a minimum number of qubits is discussed. It is shown that, the information may be masked in either entangled loc…

cond-mat.str-el2018

Luttinger liquid and charge-density-wave phases in a spinless fermion wire on a semiconducting substrate

Anas Abdelwahab, Eric Jeckelmann

An interacting spinless fermion wire coupled to a three-dimensional (3D) semiconducting substrate is approximated by a narrow ladder model (NLM) with varying number of legs. We com…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.