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

880 citations

Showing 2026Show all

23 papers · 1 filter

q-bio.PE2026★ 1 cited

Multiplayer games on regular graphs under aspiration-driven imitation: Fixation probabilities and the dilution principle

Dhaker Kroumi

We investigate how cooperation evolves in multiplayer games on regular graphs of degree when individuals base their decisions on both their own aspiration levels and the succes…

physics.soc-ph2026

Stationary analysis of adaptive aspiration dynamics in graph-structured games

Dhaker Kroumi

Aspiration dynamics can favor cooperation on finite graphs through a purely local satisfaction mechanism. In the model studied here, individuals compare their payoffs with adaptive…

eess.SP2026★ 1 cited

On the Sum of Inverse Gamma RVs and its Application to Wireless Communications Networks

Petros S. Bithas, Liang Yang, Qiuming Zhu +2

Investigating the statistics of the sum of random variables (RVs) is fundamental in wireless communication systems, as it can be used to accurately estimate their performance. In t…

cs.CR2026

MCSI: A Masked Commutative Supersingular Isogeny Key Exchange with Blinded Ephemeral Keys

Furkan Cifci, Osman Emre Donder, Reyyan Cifci

We introduce MCSI, a two message key exchange we design over the CSIDH class group action, in which each party sends its ephemeral public element under an authenticated encryption…

physics.geo-ph2026★ 4 cited

Seismic Properties of Coastal and Inland Sabkhas: Implications for Static Corrections

A. Eleslambouly, M. Y. Ali, A. El Husseiny +4

Sabkha environments are a prevalent topographic feature in arid coastal areas. Along the Arabian Gulf, sabkhas overlie substantial hydrocarbon reservoirs and exhibit intricate lith…

cs.LG2026★ 7 cited

Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis

Abrar Alotaibi, Moataz Ahmed

Neural Architecture Search (NAS) has emerged as a pivotal technique in optimizing the design of Generative Adversarial Networks (GANs), automating the search for effective architec…

cs.DS2026

Random Proposals: A Softmax-Based Local-Improvement Framework for Maximum Weighted Matching

Ahmed M. Alzuhair, Ahmed Alherz

We propose a randomized local-improvement algorithm for the Maximum Weighted Matching (MWM) problem. Our method introduces a softmax-based biased sampling mechanism that achieves l…

cond-mat.mes-hall2026

Gate-tunable spin-valley transport via carrier velocity in monolayer WSe

Otman Bouladiane, Hocine Bahlouli, Clarence Cortes +2

We theoretically investigate spin- and valley-resolved quantum transport in monolayer tungsten diselenide (WSe) described by an effective massive Dirac Hamiltonian. Particular…

math.OC2026

On Parallel and Batch-Cutting Strategies for Norm-Minimization-Based Convex Vector Optimization

Mohammed Alshahrani

We develop parallel and batch-cutting variants of the norm-minimization-based outer approximation algorithm for convex vector optimization. The standard algorithm solves inde…

cs.CV2026

NeuroAPS-Net: Neuro-Anatomically Aware Point Cloud Representation for Efficient Alzheimer's Disease Classification

Towhidul Islam, Mufti Mahmud

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and a major cause of dementia. Structural MRI is widely used to analyze AD-related brain atrophy; however, most…

cs.CV2026★ 1 cited

Depth-Aware Image and Video Orientation Estimation

Muhammad Z. Alam, Larry Stetsiuk, M. Umair Mukati +1

This paper introduces a novel approach for image and video orientation estimation by leveraging depth distribution in natural images. The proposed method estimates the orientation…

cs.CL2026

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG

Omar El Bachyr, Yewei Song, Saad Ezzini +5

PDF files are primarily intended for human reading rather than automated processing. In addition, the heterogeneous content of PDFs, such as text, tables, and images, poses signifi…

cond-mat.mes-hall2026

Exploring topological phases with extended Su-Schrieffer-Heeger models

Raditya Weda Bomantara

The Su-Schrieffer-Heeger (SSH) model describes a tight-binding one-dimensional (1D) lattice with alternating nearest-neighbor amplitudes. Despite its mathematically simple and phys…

cond-mat.mes-hall2026

Analytical Treatment of Noise-Suppressed Klein Tunneling in Graphene with Possible Implications for Quantum-Dot Qubits

Kamal Azaidaoui, Ahmed Jellal, Hocine Bahlouli +2

We study quantum tunneling through a potential barrier whose height fluctuates in time and is modeled by Gaussian white noise. We map the stochastic dynamics onto an equivalent tim…

physics.flu-dyn2026

Nonisothermal global-pressure exactness in fractured multiphase flow with aperture feedback

Christian Tantardini, Fernando Alonso-Marroquin

Global-pressure formulations recast multiphase Darcy flow in terms of a single pressure driving the total flux. Their exact equivalence to phase-pressure formulations holds only wh…

cs.RO2026

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

Yunes Alqudsi

Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands…

cs.HC2026

A Platform-Agnostic Multimodal Digital Human Modelling Framework: Neurophysiological Sensing in Game-Based Interaction

Daniel J. Buxton, Mufti Mahmud, Jordan J. Bird +2

Digital Human Modelling (DHM) is increasingly shaped by advances in AI, wearable biosensing, and interactive digital environments, particularly in research addressing accessibility…

nucl-th2026★ 1 cited

Ab initio study of the halo structure in Be

Shihang Shen, Serdar Elhatisari, Dean Lee +2

We present an ab initio study of the one-neutron halo nucleus Be using nuclear lattice effective field theory with high-fidelity chiral interactions at N3LO. By employing th…

cs.LG2026

TFT-ACB-XML: Decision-Level Integration of Customized Temporal Fusion Transformer and Attention-BiLSTM with XGBoost Meta-Learner for BTC Price Forecasting

Raiz Ud Din, Saddam Hussain Khan

Accurate forecasting of Bitcoin (BTC) has always been a challenge because decentralized markets are non-linear, highly volatile, and have temporal irregularities. Existing deep lea…

physics.data-an2026

Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes

Cyril Voyant, Candice Banes, Luis Garcia-Gutierrez +3

Time series in energy systems, such as solar irradiance, wind speed, or electrical load, are characterized by strong diurnal and seasonal periodicities. Accurate forecasting requir…

eess.SY2026

Nonlinear Predictive Cost Adaptive Control of Pseudo-Linear Input-Output Models Using Polynomial, Fourier, and Cubic Spline Observables

Rami Abdulelah Alhazmi, Achinth Suresh Babu, Syed Aseem Ul Islam +1

Control of nonlinear (NL) systems with high levels of uncertainty is practically relevant and theoretically challenging. This paper presents a numerical investigation of an adaptiv…

cs.SE2026★ 1 cited

TraceLLM: Leveraging Large Language Models with Prompt Engineering for Enhanced Requirements Traceability

Nouf Alturayeif, Irfan Ahmad, Jameleddine Hassine

Requirements traceability, the process of establishing and maintaining relationships between requirements and various software development artifacts, is paramount for ensuring syst…

nucl-th2026★ 2 cited

Searching for the Tetraneutron Resonance on the Lattice

Linqian Wu, Serdar Elhatisari, Ulf-G. Meißner +3

The nature of the tetraneutron () system remains a pivotal question in nuclear physics. We investigate the system using nuclear lattice effective field theory in finite vo…