output
19932026
most citedDynamical decoupling and noise spectroscopy with a superconducting flux qubit

880 citations

Showing 2022Show all

25 papers · 1 filter

quant-ph2022★ 7 cited

Topological modes and beyond

Weiwei Zhu, Jiangbin Gong, Raditya Weda Bomantara

This short Perspective article presents an overview of the discovery of topological modes as well as their physical significance in quantum computing and the understanding of a…

math.NA2022★ 2 cited

Algorithmic analysis towards time-domain extended source waveform inversion

Pengliang Yang, Wei Zhou

Full waveform inversion (FWI) updates the subsurface model from an initial model by comparing observed and synthetic seismograms. Due to high nonlinearity, FWI is easy to be trappe…

quant-ph2022

Electrostatic multipole contributions to the binding energy of electrons

A. D. Alhaidari, H. Bahlouli

The interaction of an electron with a local static charge distribution (e.g., an atom or molecule) is dominated at large distances by the radial 1/r Coulomb potential. The second o…

cs.NE2022★ 11 cited

Optimization of FPGA-based CNN Accelerators Using Metaheuristics

Sadiq M. Sait, Aiman El-Maleh, Mohammad Altakrouri +1

In recent years, convolutional neural networks (CNNs) have demonstrated their ability to solve problems in many fields and with accuracy that was not possible before. However, this…

nlin.CD2022★ 1 cited

Energy Transfer and Coherence in Coupled Oscillators with Delayed Coupling: A Classical Picture for Two-Level Systems

Fahhad H Alharbi, Abdelrahman S Abdelrahman, Abdullah M Alkathiry +1

The Frimmer-Novotny model to simulate two-level systems by coupled oscillators is extended by incorporating a constant time delay in the coupling. The effects of the introduced del…

cond-mat.mes-hall2022★ 3 cited

Floquet Hofstadter butterfly in trilayer graphene with a twisted top layer

Nadia Benlakhouy, Ahmed Jellal, Hocine Bahlouli

The magnetic field generated Hofstadter butterfly in single-twist trilayer graphene (TLG) is investigated using circularly polarized light (CPL) and longitudinal light emanating fr…

gr-qc2022★ 22 cited

Charged Particles Circular Orbits around Weakly Charged and Magnetized Kerr Black Holes

A. M. Al Zahrani

We study the circular orbits of charged particles around a weakly charged Kerr black hole immersed in a weak, axisymmetric magnetic field. Firstly, we review the circular orbits of…

gr-qc2022★ 9 cited

Circular orbits of Charged Particles around a Weakly Charged and Magnetized Schwarzschild Black Hole

A. M. Al Zahrani

We study the circular orbits of charged particles around a weakly charged Schwarzschild black hole immersed in a weak, axisymmetric magnetic field. We start by reviewing the circul…

cond-mat.str-el2022★ 2 cited

Fidelity of the Kitaev honeycomb model under a quench

Wesley Roberts, Michael Vogl, Gregory A. Fiete

Motivated by rapid developments in the field of quantum computing and the increasingly diverse nature of qubits, we theoretically study the influence that quenched outside disturba…

cond-mat.mes-hall2022★ 63 cited

Observation of pi/2 modes in an acoustic Floquet system

Zheyu Cheng, Raditya Weda Bomantara, Haoran Xue +3

Topological phases of matter have remained an active area of research in the last few decades. Periodic driving is known to be a powerful tool for enriching such exotic phases, whi…

quant-ph2022★ 2 cited

On the Kinetic Energy Density Functional: The Limit of the Density Derivative Order

Abdulaziz H. Al-Aswad, Fahhad H. Alharbi

Within ``orbital-free'' density functional theory, it is essential to develop general kinetic energy density (KED), denoted as . This is usually done by empirical co…

math.NA2022★ 6 cited

A Direct Integral Pseudospectral Method for Solving a Class of Infinite-Horizon Optimal Control Problems Using Gegenbauer Polynomials and Certain Parametric Maps

Kareem T. Elgindy, Hareth M. Refat

We present a novel direct integral pseudospectral (PS) method (a direct IPS method) for solving a class of continuous-time infinite-horizon optimal control problems (IHOCs). The me…

cs.IT2022

User Association in User-Centric Hybrid VLC/RF Cell-Free Massive MIMO Systems

Ahmed Almehdhar, Mohanad Obeed, Anas Chaaban +1

A continuous goal in all communication systems is to enhance the users experience and provide them with the highest possible data rates. Recently, the concept of cell-free massive…

cs.LG2022★ 7 cited

Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification

Khalid L. Alsamadony, Ahmed Farid Ibrahim, Salaheldin Elkatatny +1

The photoelectric factor (PEF) is an important well logging tool to distinguish between different types of reservoir rocks because PEF measurement is sensitive to elements with hig…

cond-mat.str-el2022

Symmetry-protected topological corner modes in a periodically driven interacting spin lattice

Kelvin Koor, Raditya Weda Bomantara, Leong Chuan Kwek

Periodic driving has the longstanding reputation for generating exotic phases of matter with no static counterparts. This work explores the interplay among periodic driving, intera…

cs.LG2022★ 24 cited

Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty

Muhammad Izzatullah, Isa Eren Yildirim, Umair Bin Waheed +1

Several techniques have been proposed over the years for automatic hypocenter localization. While those techniques have pros and cons that trade-off computational efficiency and th…

cond-mat.mes-hall2022★ 4 cited

Topological characteristics of gap closing points in nonlinear Weyl semimetals

Thomas Tuloup, Raditya Weda Bomantara, Jiangbin Gong

In this work we explore the effects of nonlinearity on three-dimensional topological phases. Of particular interest are the so-called Weyl semimetals, known for their Weyl nodes, i…

nlin.PS2022★ 19 cited

Breakdown of quantization in nonlinear Thouless pumping

Thomas Tuloup, Raditya Weda Bomantara, Jiangbin Gong

The dynamics of solitons driven in a nonlinear Thouless pump and its connection with the system's topology were recently explored for both weak and strong nonlinear strength. This…

math-ph2022

J-matrix method of scattering for inverse-square singular potentials with supercritical coupling II. Regularization

Abdulaziz D. Alhaidari, Hocine Bahlouli, S. M. Al-Marzoug +1

This paper is a continuation of the previous one [Journal xx, xxxxx (2022)]. Here, we reformulate the same J-matrix theory by regularizing the inverse square singular potential. Th…

cond-mat.mes-hall2022★ 4 cited

Tunneling phase diagrams in anisotropic Multi-Weyl semimetals

Ahmed Bouhlal, Adel Abbout, Ahmed Jellal +2

Motivated by the exciting prediction of Multi-Weyl topological semimetals that are stabilized by point group symmetries [Phys. Rev. Lett. 108 (2012) 266802], we study tunneling phe…

cs.CR2022★ 201 cited

Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks

Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi +3

Nowadays, blockchain-based technologies are being developed in various industries to improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-base…

cs.NE2022★ 11 cited

FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation

Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh +1

Deep neural networks (DNNs) have demonstrated their effectiveness in a wide range of computer vision tasks, with the state-of-the-art results obtained through complex and deep stru…

cs.IT2022

A Nonlinear Subspace Approach for Parametric Estimation of PDFs from Short Data Records with Application to Rayleigh Fading

Ahmad A. Masoud

This paper tackles the issue of real-time parametric estimation of a wide class of probability density functions from limited datasets. This type of estimation addresses recent app…

cs.LG2022★ 2 cited

A Review of Open Source Software Tools for Time Series Analysis

Yunus Parvej Faniband, Iskandar Ishak, Sadiq M. Sait

Time series data is used in a wide range of real world applications. In a variety of domains , detailed analysis of time series data (via Forecasting and Anomaly Detection) leads t…