Tootfinder

Fast Converging Single Trace Quasi-local PMCHWT Equation for the Modelling of Composite Systems
Kristof Cools
https://arxiv.org/abs/2506.16376 https://

Fast Converging Single Trace Quasi-local PMCHWT Equation for the Modelling of Composite Systems
The PMCHWT integral equation enables the modelling of scattering of time-harmonic fields by penetrable, piecewise homogeneous, systems. They have been generalised to include the modelling of composite systems that may contain junctions, i.e. lines along which three or more materials meet. Linear systems resulting upon discretisation of the PMCHWT are, because of their large dimension, typically solved by Krylov iterative methods. The number of iterations required for this solution critically de…

Discrete-Time Linear Dynamical System Control Using Sparse Inputs With Time-Varying Support
Krishna Praveen V. S. Kondapi, Chandrasekhar Sriram, Geethu Joseph, Chandra R. Murthy
https://arxiv.org/abs/2506.18514

Discrete-Time Linear Dynamical System Control Using Sparse Inputs With Time-Varying Support
In networked control systems, communication resource constraints often necessitate the use of \emph{sparse} control input vectors. A prototypical problem is how to ensure controllability of a linear dynamical system when only a limited number of actuators (inputs) can be active at each time step. In this work, we first present an algorithm for determining the \emph{sparse actuator schedule}, i.e., the sequence of supports of the input vectors that ensures controllability. Next, we extend the al…

Microcanonical simulated annealing: Massively parallel Monte Carlo simulations with sporadic random-number generation
M. Bernaschi, L. A. Fernandez, I. Gonz\'alez-Adalid Pemart\'in, E. Marinari, V. Martin-Mayor, G. Parisi, F. Ricci-Tersenghi, J. J. Ruiz-Lorenzo, D. Yllanes
https://arxiv.org/abs/2506.16240

Microcanonical simulated annealing: Massively parallel Monte Carlo simulations with sporadic random-number generation
Numerical simulations of models and theories that describe complex experimental systems $\unicode{x2014}$in fields like high-energy and condensed-matter physics$\unicode{x2014}$ are becoming increasingly important. Examples include lattice gauge theories, which can describe, among others, quantum chromodynamics (the Standard Model description of strong interactions between elementary particles), and spin-glass systems. Beyond fundamental research, these computational methods also find practical…

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning
Xiaodan Shao, Limei Hu, Yulong Sun, Xing Li, Yixiao Zhang, Jingze Ding, Xiaoming Shi, Feng Chen, Derrick Wing Kwan Ng, Robert Schober
https://arxiv.org/abs/2506.15808

Hybrid Near-Far Field 6D Movable Antenna Design Exploiting Directional Sparsity and Deep Learning
Six-dimensional movable antenna (6DMA) has been identified as a new disruptive technology for future wireless systems to support a large number of users with only a few antennas. However, the intricate relationships between the signal carrier wavelength and the transceiver region size lead to inaccuracies in traditional far-field 6DMA channel model, causing discrepancies between the model predictions and the hybrid-field channel characteristics in practical 6DMA systems, where users might be in…

Metal-polluted PopIII galaxies and How to Find Them
Elka Rusta, Stefania Salvadori, Viola Gelli, Daniel Schaerer, Alessandro Marconi, Ioanna Koutsouridou, Stefano Carniani
https://arxiv.org/abs/2506.17400

Metal-polluted PopIII galaxies and How to Find Them
Observing Population III (PopIII) galaxies, the hosts of first-generation stars, remains challenging even with the JWST. The current few candidates have been identified through the combination of a prominent HeII emission and the absence of metal lines, a well-known but extremely brief signature of metal-free systems. Here, we accurately model the evolution of the emission from PopIII galaxies to increase the number of candidates in JWST observations. To achieve this, we employ a locally calibr…

Very strong coupling limit of Eliashberg-McMillan theory and the upper limit for superconducting transition temperature
M. V. Sadovskii
https://arxiv.org/abs/2506.19326

Very strong coupling limit of Eliashberg-McMillan theory and the upper limit for superconducting transition temperature
We present a brief review of some recent work on the problem of highest achievable temperature of superconducting transition $T_c$ in electron-phonon systems. The discovery of record-breaking values of $T_c$ in quite a number of hydrides under high pressure was an impressive demonstration of capabilities of electron-phonon mechanism of Cooper pairing. This lead to an increased interest on possible limitations of Eliashberg-McMillan theory as the main theory of superconductivity in a system of e…

SAFER-D: A Self-Adaptive Security Framework for Distributed Computing Architectures
Marco Stadler, Michael Vierhauser, Michael Riegler, Daniel Waghubinger, Johannes Sametinger
https://arxiv.org/abs/2506.16545

SAFER-D: A Self-Adaptive Security Framework for Distributed Computing Architectures
The rise of the Internet of Things and Cyber-Physical Systems has introduced new challenges on ensuring secure and robust communication. The growing number of connected devices increases network complexity, leading to higher latency and traffic. Distributed computing architectures (DCAs) have gained prominence to address these issues. This shift has significantly expanded the attack surface, requiring additional security measures to protect all components -- from sensors and actuators to edge n…

This is obviously bad from #whatsapp, but also, the way the journalist describes what the chatbot does, as if it had intentions, is pretty bad too.
"It was the beginning of a bizarre exchange of the kind more and more people are having with AI systems, in which chatbots try to negotiate their way out of trouble, deflect attention from their mistakes and contradict themselve…

Non-linear estimators for the observation and stabilisation of falling liquid films
Oscar Holroyd, Radu Cimpeanu, Susana N. Gomes
https://arxiv.org/abs/2506.16987

Non-linear estimators for the observation and stabilisation of falling liquid films
Falling liquid films are complex physical processes modelled by infinite-dimensional dynamical systems. The interfacial behaviour is characterised by the Reynolds number, a nondimensional parameter, and above a critical value the uniform film becomes unstable and travelling waves occur. By injecting and removing fluid from the base at discrete locations, we aim to stabilise otherwise unstable flat interfaces, with the additional limitation that observations of the state are restricted to finite…

Monolithic and Block Overlapping Schwarz Preconditioners for the Incompressible Navier--Stokes Equations
Alexander Heinlein, Axel Klawonn, Jascha Knepper, Lea Sa{\ss}mannshausen
https://arxiv.org/abs/2506.16179

Monolithic and Block Overlapping Schwarz Preconditioners for the Incompressible Navier--Stokes Equations
Monolithic preconditioners applied to the linear systems arising during the solution of the discretized incompressible Navier--Stokes equations are typically more robust than preconditioners based on incomplete block factorizations. Lower number of iterations and a reduced sensitivity to parameters like velocity and viscosity can significantly outweigh the additional cost for their setup. Different monolithic preconditioning techniques are introduced and compared to a selection of block precond…

Microsoft and AMD announce a "strategic, multi-year partnership" to design custom silicon for a number of devices, including next-generation Xbox consoles (Jez Corden/Windows Central)
https://www.windowscentral.com/gaming/xbox

Microsoft and AMD have officially entered a new multi-year partnership for first-party Xbox hardware
Xbox President Sarah Bond shared an update on Xbox consoles today, confirming their ongoing partnership with AMD for first-party hardware, while committing to supporting your existing console library on next-gen systems.

Learning to Coordinate Under Threshold Rewards: A Cooperative Multi-Agent Bandit Framework
Michael Ledford, William Regli
https://arxiv.org/abs/2506.15856 …

Learning to Coordinate Under Threshold Rewards: A Cooperative Multi-Agent Bandit Framework
Cooperative multi-agent systems often face tasks that require coordinated actions under uncertainty. While multi-armed bandit (MAB) problems provide a powerful framework for decentralized learning, most prior work assumes individually attainable rewards. We address the challenging setting where rewards are threshold-activated: an arm yields a payoff only when a minimum number of agents pull it simultaneously, with this threshold unknown in advance. Complicating matters further, some arms are de…

Now whose genius idea was it to limit calendar event colors to precisely the named colors of CSS in RFC7986, which were never intended as a sole palette because CSS also supports hex colors? 🤯
(Explicitly *not* blaming the author here; this probably comes from legacy systems and was reviewed by any number of people that could have caught it.)
#iCal

A uniform cut-elimination theorem for linear logics with fixed points and super exponentials
Esa\"ie Bauer, Alexis Saurin
https://arxiv.org/abs/2506.14327

A uniform cut-elimination theorem for linear logics with fixed points and super exponentials
In the realm of light logics deriving from linear logic, a number of variants of exponential rules have been investigated. The profusion of such proof systems induces the need for cut-elimination theorems for each logic, the proof of which may be redundant. A number of approaches in proof theory have been adopted to cope with this need. In the present paper, we consider this issue from the point of view of enhancing linear logic with least and greatest fixed-points and considering such a variet…

DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition
Jiawei Zhuang, Hongwei Hou, Minjie Tang, Wenjin Wang, Shi Jin, Vincent K. N. Lau
https://arxiv.org/abs/2506.11899

DMRS-Based Uplink Channel Estimation for MU-MIMO Systems with Location-Specific SCSI Acquisition
With the growing number of users in multi-user multiple-input multiple-output (MU-MIMO) systems, demodulation reference signals (DMRSs) are efficiently multiplexed in the code domain via orthogonal cover codes (OCC) to ensure orthogonality and minimize pilot interference. In this paper, we investigate uplink DMRS-based channel estimation for MU-MIMO systems with Type II OCC pattern standardized in 3GPP Release 18, leveraging location-specific statistical channel state information (SCSI) to enha…

On 3-periodic tangled networks and their untangling number
Toky Andriamanalina, Sonia Mahmoudi, Myfanwy E. Evans
https://arxiv.org/abs/2506.15252 https://

On 3-periodic tangled networks and their untangling number
Periodic networks serve as models for the structural organisation of biological and chemical crystalline systems. A single or multiple networks can have different configurations in space, where entanglement may arise due to the way the edges weave around each other. This entanglement influences the functional, physical, and chemical properties of the materials modelled by the networks, which highlights the need to quantify its complexity. In this paper, we describe a diagrammatic representation…

A Coordination-Based Model for the Prediction of Surface Energies and the Shape of Metal Particles
Shyama Charan Mandal, Frank Abild-Pedersen
https://arxiv.org/abs/2506.15144

A Coordination-Based Model for the Prediction of Surface Energies and the Shape of Metal Particles
Surface energies of metal-based systems are important for determining the Wulff-constructed shapes of metal nanoparticles and understanding the stability. We have developed a coordination number-based model to predict the total energy of metal-based systems across a wide range of configurations. Our model has been tested against Density Functional Theory (DFT) calculations for late transition metals. This method enables on-the-fly surface energy predictions and allows for the Wulff construction…

Excitation Amplitude Sampling for Low Variance Electronic Structure on Quantum Computers
Connor Lenihan, Oliver J. Backhouse, Tom W. A. Montgomery, Phalgun Lolur, M. J. Bhaseen, George H. Booth
https://arxiv.org/abs/2506.15438

Excitation Amplitude Sampling for Low Variance Electronic Structure on Quantum Computers
We combine classical heuristics with partial shadow tomography to enable efficient protocols for extracting information from correlated ab initio electronic systems encoded on quantum devices. By proposing the use of a correlation energy functional and sampling of a polynomial set of excitation amplitudes of the quantum state, we can demonstrate an almost two order of magnitude reduction in required number of shots for a given statistical error in the energy estimate, as well as observing a lin…

Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu
https://arxiv.org/abs/2506.06021

Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
Multi-solid systems are foundational to a wide range of real-world applications, yet modeling their complex interactions remains challenging. Existing deep learning methods predominantly rely on implicit modeling, where the factors influencing solid deformation are not explicitly represented but are instead indirectly learned. However, as the number of solids increases, these methods struggle to accurately capture intricate physical interactions. In this paper, we introduce a novel explicit mod…

Mutual effect of charge- and number-density correlations in ionic liquids and concentrated electrolytes
O. Patsahan, A. Ciach
https://arxiv.org/abs/2506.14604

Mutual effect of charge- and number-density correlations in ionic liquids and concentrated electrolytes
Correlation functions in concentrated ionic systems are studied within the mesoscopic theory at the level of the Gaussian approximation. The previously neglected fluctuation contribution to the inverse charge-charge correlation function is taken into account to verify the accuracy of the previous results. We calculate the correlation lengths and the amplitudes and show that the fluctuation contribution does not lead to significant changes of the results. We also derive necessary conditions for …

The SagbiHomotopy.jl package for solving polynomial systems
Barbara Betti, Viktoriia Borovik
https://arxiv.org/abs/2506.06264 https://

The SagbiHomotopy.jl package for solving polynomial systems
We present the Julia package SagbiHomotopy.jl for solving systems of polynomial equations using numerical homotopy continuation. The package introduces an optimal choice of a start system based on SAGBI homotopies. For square horizontally parameterized systems, where each equation is a linear combination of a given set of polynomials, SAGBI homotopies significantly reduce the number of solution paths to track compared to polyhedral homotopies currently used by default in most software for numer…

Recommender systems, stigmergy, and the tyranny of popularity
Zackary Okun Dunivin, Paul E. Smaldino
https://arxiv.org/abs/2506.06162 https://

Recommender systems, stigmergy, and the tyranny of popularity
Scientific recommender systems, such as Google Scholar and Web of Science, are essential tools for discovery. Search algorithms that power work through stigmergy, a collective intelligence mechanism that surfaces useful paths through repeated engagement. While generally effective, this ``rich-get-richer'' dynamic results in a small number of high-profile papers that dominate visibility. This essay argues argue that these algorithm over-reliance on popularity fosters intellectual homogeneity and…

Real-Time Agile Software Management for Edge and Fog Computing Based Smart City Infrastructure
Debasish Jana, Pinakpani Pal, Pawan Kumar
https://arxiv.org/abs/2506.12616

Real-Time Agile Software Management for Edge and Fog Computing Based Smart City Infrastructure
The evolution of smart cities demands scalable, secure, and energy-efficient architectures for real-time data processing. With the number of IoT devices expected to exceed 40 billion by 2030, traditional cloud-based systems are increasingly constrained by bandwidth, latency, and energy limitations. This paper leverages the ROOF (Real-time Onsite Operations Facilitation) framework with decentralized computing at intermediary fog and peripheral edge network layers to reduce latency by processing …

Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems
Shiyu Cheng, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran
https://arxiv.org/abs/2506.14749

Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems
In multi-agent systems, signal temporal logic (STL) is widely used for path planning to accomplish complex objectives with formal safety guarantees. However, as the number of agents increases, existing approaches encounter significant computational challenges. Recognizing that many complex tasks require cooperation among multiple agents, we propose swarm STL specifications to describe the collective tasks that need to be achieved by a team of agents. Next, we address the motion planning problem…

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
Maximilian Baronig, Yeganeh Bahariasl, Ozan \"Ozdenizci, Robert Legenstein
https://arxiv.org/abs/2506.14464

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
Recurrent spiking neural networks (RSNNs) can be implemented very efficiently in neuromorphic systems. Nevertheless, training of these models with powerful gradient-based learning algorithms is mostly performed on standard digital hardware using Backpropagation through time (BPTT). However, BPTT has substantial limitations. It does not permit online training and its memory consumption scales linearly with the number of computation steps. In contrast, learning methods using forward propagation o…

Composable Building Blocks for Controllable and Transparent Interactive AI Systems
Sebe Vanbrabant, Gustavo Rovelo Ruiz, Davy Vanacken
https://arxiv.org/abs/2506.02262

Composable Building Blocks for Controllable and Transparent Interactive AI Systems
While the increased integration of AI technologies into interactive systems enables them to solve an equally increasing number of tasks, the black box problem of AI models continues to spread throughout the interactive system as a whole. Explainable AI (XAI) techniques can make AI models more accessible by employing post-hoc methods or transitioning to inherently interpretable models. While this makes individual AI models clearer, the overarching system architecture remains opaque. To this end,…

Extended multiconfigurational dynamical symmetry
H. G. Ganev
https://arxiv.org/abs/2506.15590 https://arxiv.org/pdf/2506.15590…

Extended multiconfigurational dynamical symmetry
An extended multiconfigurational dynamical symmetry (EMUSY) within the symplectic symmetry approach to clustering (SSAC) is proposed for the general case of multicluster nuclear systems. A characteristic property of the EMUSY is that it includes more general symplectic, i.e. number non-preserving, transformations which contain the standard number-preserving (unitary) multiconfigurational dynamical symmetry transformations as a special limiting case. In this way the EMUSY becomes able to connect…

Localizing synergies of hidden factors across complex systems: resting brain networks and HeLa gene expression profile as case studies
Marlis Ontivero-Ortega, Gorana Mijatovic, Luca Faes, Daniele Marinazzo, Sebastiano Stramaglia
https://arxiv.org/abs/2506.09053

Localizing synergies of hidden factors across complex systems: resting brain networks and HeLa gene expression profile as case studies
Factor analysis is a well-known statistical method to describe the variability of observed variables in terms of a smaller number of unobserved latent variables called factors. Even though latent factors are conceptually independent of each other, their influence on the observed variables is often joint and synergistic. We propose to quantify the synergy of the joint influence of factors on the observed variables using the O-information, a recently introduced metrics to assess high order depend…

This https://arxiv.org/abs/2407.18398 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Low-weight codewords in cyclic codes
We introduce a formula for determining the number of codewords of weight 2 in cyclic codes and provide results related to the count of codewords with weight 3. Additionally, we establish a recursive relationship for binary cyclic codes that connects their weight distribution to the number of solutions of associated systems of polynomial equations. This relationship allows for the computation of weight distributions from known solutions of systems of diagonal equations and vice versa, offering a…

Aspect-Based Opinion Summarization with Argumentation Schemes
Wendi Zhou, Ameer Saadat-Yazd, Nadin Kokciyan
https://arxiv.org/abs/2506.09917 https://

Aspect-Based Opinion Summarization with Argumentation Schemes
Reviews are valuable resources for customers making purchase decisions in online shopping. However, it is impractical for customers to go over the vast number of reviews and manually conclude the prominent opinions, which prompts the need for automated opinion summarization systems. Previous approaches, either extractive or abstractive, face challenges in automatically producing grounded aspect-centric summaries. In this paper, we propose a novel summarization system that not only captures pred…

Performance Characterization of Continuous Reconfigurable Intelligent Surfaces
Amy S. Inwood, Peter J. Smith, Mahmoud AlaaEldin, Michail Matthaiou
https://arxiv.org/abs/2506.14385

Performance Characterization of Continuous Reconfigurable Intelligent Surfaces
We consider a reconfigurable intelligent surface (RIS) that can implement a phase rotation continuously over the whole surface rather than via a finite number of discrete elements. Such an RIS can be considered a design for future systems where advances in metamaterials make such an implementation feasible or as the limiting case where the number of elements in a traditional RIS increases in a given area. We derive the optimal RIS design for the single-user (SU) scenario assuming a line-of-sigh…

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
Shaun Shuster, Eyal Zaloof, Asaf Shabtai, Rami Puzis
https://arxiv.org/abs/2506.11635

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
The continuous growth of the e-commerce industry attracts fraudsters who exploit stolen credit card details. Companies often investigate suspicious transactions in order to retain customer trust and address gaps in their fraud detection systems. However, analysts are overwhelmed with an enormous number of alerts from credit card transaction monitoring systems. Each alert investigation requires from the fraud analysts careful attention, specialized knowledge, and precise documentation of the out…

Chemical Signatures of Population III Stars in Damped Lyman-$\alpha$ Absorption Systems at $z \approx 6$
Eli Visbal, Greg L. Bryan, Zoltan Haiman
https://arxiv.org/abs/2506.14482 …

Chemical Signatures of Population III Stars in Damped Lyman-$α$ Absorption Systems at $z \approx 6$
Recently, Sodini et al. (2024) presented a sample of OI damped Lyman-$α$ absorption system (DLA) analogs at $z\sim6$ that contain possible chemical signatures of Population III (Pop III) stars. In this paper, we use an N-body simulation-based semi-analytic model of the first stars and galaxies to predict the impact of Pop III stars on high-redshift DLAs. These Pop III DLA predictions are the first to include a number of important physical effects such as Lyman-Werner (LW) feedback, reionizatio…

This https://arxiv.org/abs/2409.16967 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Scalable Multi-Robot Informative Path Planning for Target Mapping via Deep Reinforcement Learning
Autonomous robots are widely utilized for mapping and exploration tasks due to their cost-effectiveness. Multi-robot systems offer scalability and efficiency, especially in terms of the number of robots deployed in more complex environments. These tasks belong to the set of Multi-Robot Informative Path Planning (MRIPP) problems. In this paper, we propose a deep reinforcement learning approach for the MRIPP problem. We aim to maximize the number of discovered stationary targets in an unknown 3D …

This https://arxiv.org/abs/2409.07885 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Towards Timetronics with Photonic Systems
Periodic driving of particles can create crystalline structures in their dynamics. Such systems can be used to study solid-state physics phenomena in the time domain. In addition, it is possible to realize photonic time crystals and to engineer the wave-number band structure of optical devices by periodic temporal modulation of the properties of light-propagating media. Here we introduce a versatile approach which uses traveling wave resonators to emulate various condensed matter phases in the …

The NASA Exoplanet Archive and Exoplanet Follow-up Observing Program: Data, Tools, and Usage
Jessie L. Christiansen, Douglas L. McElroy, Marcy Harbut, David R. Ciardi, Megan Crane, John Good, Kevin K. Hardegree-Ullman, Aurora Y. Kesseli, Michael B. Lund, Meca Lynn, Ananda Muthiar, Ricky Nilsson, Toba Oluyide, Michael Papin, Amalia Rivera, Melanie Swain, Nicholas D. Susemiehl, Raymond Tam, Julian van Eyken, Charles Beichman

The NASA Exoplanet Archive and Exoplanet Follow-up Observing Program: Data, Tools, and Usage
The NASA Exoplanet Archive and the Exoplanet Follow-up Observing Program service are two widely used resources for the exoplanet community. The NASA Exoplanet Archive provides a complete and accurate accounting of exoplanetary systems published by NASA missions and by the community in the refereed literature. In anticipation of continued exponential growth in the number of exoplanetary systems, and the increasing complexity in our characterization of these systems, the NASA Exoplanet Archive ha…

Algebroid Mappings and Their Equidistribution Theory
Xianjing Dong
https://arxiv.org/abs/2506.07887 https://arxiv.org/pdf/2506.07887

Algebroid Mappings and Their Equidistribution Theory
In this paper, the concept of algebroid mappings of complex manifolds is introduced based on that a large number of complex systems of PDEs admit multi-valued solutions that can be defined by a system of independent algebraic equations over the field of meromorphic functions. It is well-known that Nevanlinna theory is an important tool in complex ODE theory. To develop a similar tool applied to the study of algebroid solutions of complex systems of PDEs, one explores the equidistribution theory…

Refuting Perfect Matchings in Spectral Expanders is Hard
Ari Biswas, Rajko Nenadov
https://arxiv.org/abs/2506.07700 https://arxiv.org…

Refuting Perfect Matchings in Spectral Expanders is Hard
This work studies the complexity of refuting the existence of a perfect matching in spectral expanders with an odd number of vertices, in the Polynomial Calculus (PC) and Sum of Squares (SoS) proof system. Austrin and Risse [SODA, 2021] showed that refuting perfect matchings in sparse $d$-regular \emph{random} graphs, in the above proof systems, with high probability requires proofs with degree $Ω(n/\log n)$. We extend their result by showing the same lower bound holds for \emph{all} $d$-regul…

Quantum mixture-density network for multimodal probabilistic prediction
Jaemin Seo
https://arxiv.org/abs/2506.09497 https://arxiv.org…

Quantum mixture-density network for multimodal probabilistic prediction
Multimodal probability distributions are common in both quantum and classical systems, yet modeling them remains challenging when the number of modes is large or unknown. Classical methods such as mixture-density networks (MDNs) scale poorly, requiring parameter counts that grow quadratically with the number of modes. We introduce a Quantum Mixture-Density Network (Q-MDN) that employs parameterized quantum circuits to efficiently model multimodal distributions. By representing an exponential nu…

Capacity of MIMO Systems Aided by Microwave Linear Analog Computers (MiLACs)
Matteo Nerini, Bruno Clerckx
https://arxiv.org/abs/2506.05983 https://

Capacity of MIMO Systems Aided by Microwave Linear Analog Computers (MiLACs)
Future wireless systems, known as gigantic multiple-input multiple-output (MIMO), are expected to enhance performance by significantly increasing the number of antennas, e.g., a few thousands. To enable gigantic MIMO overcoming the scalability limitations of digital architectures, microwave linear analog computers (MiLACs) have recently emerged. A MiLAC is a multiport microwave network that processes input microwave signals entirely in the analog domain, thereby reducing hardware costs and comp…

Prediction and control of geometry-induced nematic order in growing multicellular systems
Lukas Hupe, Jonas Isensee, Ramin Golestanian, Philip Bittihn
https://arxiv.org/abs/2506.10867

Prediction and control of geometry-induced nematic order in growing multicellular systems
In densely-packed two-dimensional systems of growing cells, such as rod-shaped bacteria, a number of experimental and numerical studies report distinct patterns of nematic orientational order in the presence of confinement. So far, these effects have been explained using variations of growing active nematic continuum theories, which incorporate feedback between growth-induced active stresses, the resulting material flow and nematic orientation, and were adapted to the specific geometry under in…

This https://arxiv.org/abs/2308.00060 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

An Invitation to Number-Conserving Cellular Automata
Number-conserving cellular automata are discrete dynamical systems that simulate interacting particles like e.g. grains of sand. In an earlier paper, I had already derived a uniform construction for all transition rules of one-dimensional number-conserving automata. Here I describe in greater detail how one can simulate the automata on a computer and how to find interesting rules. I show several rules that I have found this way and also some theorems about the space of number-conserving automat…

Towards Scalable Schema Mapping using Large Language Models
Christopher Buss, Mahdis Safari, Arash Termehchy, Stefan Lee, David Maier
https://arxiv.org/abs/2505.24716

Towards Scalable Schema Mapping using Large Language Models
The growing need to integrate information from a large number of diverse sources poses significant scalability challenges for data integration systems. These systems often rely on manually written schema mappings, which are complex, source-specific, and costly to maintain as sources evolve. While recent advances suggest that large language models (LLMs) can assist in automating schema matching by leveraging both structural and natural language cues, key challenges remain. In this paper, we iden…

Fast parallel transient electromagnetic modeling using a uniform-in-time approximation to the exponential
Ralph-Uwe B\"orner, Stefan G\"uttel
https://arxiv.org/abs/2506.11657

Fast parallel transient electromagnetic modeling using a uniform-in-time approximation to the exponential
A new approach for the parallel forward modeling of transient electromagnetic (TEM) fields is presented. It is based on a family of uniform-in-time rational approximants to the matrix exponential that share a common denominator independent of the evaluation time points. The partial fraction decomposition of this family is exploited to devise a fast solver with high parallel efficiency. The number of shifted linear systems that need to be solved in parallel does not depend on the number of requi…

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Jianhong Wang, Yang Li, Samuel Kaski, Jonathan Lawry
https://arxiv.org/abs/2506.11285

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Open multi-agent systems are increasingly important in modeling real-world applications, such as smart grids, swarm robotics, etc. In this paper, we aim to investigate a recently proposed problem for open multi-agent systems, referred to as n-agent ad hoc teamwork (NAHT), where only a number of agents are controlled. Existing methods tend to be based on heuristic design and consequently lack theoretical rigor and ambiguous credit assignment among agents. To address these limitations, we model a…

This https://arxiv.org/abs/2309.01815 has been replaced.
initial toot: https://mastoxiv.page/@…

Effective Hamiltonian approach to kinetic Ising models: Application to an infinitely long-range Husimi-Temperley model
The probability distribution (PD) of spin configurations in kinetic Ising models has been cast in the form of the canonical Boltzmann PD with a time-dependent effective Hamiltonian (EH). It has been argued that in systems with extensive energy EH depends linearly on the number of spins $N$ leading to the exponential dependence of PD on the system size. In macroscopic systems the argument of the exponential function may reach values of the order of the Avogadro number which is impossible to deal…

This https://arxiv.org/abs/2501.18032 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Fractal algorithm for multiple lens analyses
A microlensing exoplanet search is a unique method for finding planets orbiting distant stars. However, in the past, the method used to analyze microlensing data could not deal with complex lens systems. The number of lenses was limited three or less. Positions calculations of images and integration of them suffered from severe round-off errors because of singularities. We developed a new algorithm to calculate the light curves of multiple lens systems. In this algorithm, fractal-like consecuti…

This https://arxiv.org/abs/2503.05408 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Efficient Parallel Scheduling for Sparse Triangular Solvers
We develop and analyze new scheduling algorithms for solving sparse triangular linear systems (SpTRSV) in parallel. Our approach produces highly efficient synchronous schedules for the forward- and backward-substitution algorithm. Compared to state-of-the-art baselines HDagg and SpMP, we achieve a $3.32 \times$ and $1.42 \times$ geometric-mean speed-up, respectively. We achieve this by obtaining an up to $12.07 \times$ geometric-mean reduction in the number of synchronization barriers over HDag…

This https://arxiv.org/abs/2402.08628 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Nonlinear Graphon mean-field systems
We address a system of weakly interacting particles where the heterogenous connections among the particles are described by a graph sequence and the number of particles grows to infinity. Our results extend the existing law of large numbers and propagation of chaos results to the case where the interaction between one particle and its neighbors is expressed as a nonlinear function of the local empirical measure. In the limit of the number of particles which tends to infinity, if the graph seque…

Richardson-Gaudin states of non-zero seniority II: Single-reference treatment of strong correlation
Paul A. Johnson
https://arxiv.org/abs/2506.09379 https:…

Richardson-Gaudin states of non-zero seniority II: Single-reference treatment of strong correlation
Strongly correlated systems are well described as a configuration interaction of Slater determinants classified by their number of unpaired electrons. This treatment is however unfeasible. In this manuscript, it is demonstrated that single reference methods built from Richardson-Gaudin states yield comparable results at polynomial cost.

Software Portability for Computer Algebra
Arthur C. Norman, Stephen M. Watt
https://arxiv.org/abs/2506.01864 https://arxiv.org/pdf/25…

Software Portability for Computer Algebra
We have been involved in the creation of multiple software systems for computer algebra, including Reduce, Maple, Axiom and Aldor as well as a number of smaller specialised programs. We relate observations on how the meaning of software portability has changed over time and how it continues to evolve. We describe how the systems with which we have first-hand experience have achieved portability, how the central issues have changed over time and the challenges that remain.

Tensor network method for real-space topology in quasicrystal Chern mosaics
Tiago V. C. Ant\~ao, Yitao Sun, Adolfo O. Fumega, Jose L. Lado
https://arxiv.org/abs/2506.05230

Tensor network method for real-space topology in quasicrystal Chern mosaics
Computing topological invariants in two-dimensional quasicrystals and super-moire matter is an exceptional open challenge, due to the absence of translational symmetry and the colossal number of sites inherent to these systems. Here, we establish a method to compute local topological invariants of exceptionally large systems using tensor networks, enabling the computation of invariants for Hamiltonians with hundreds of millions of sites, several orders of magnitude above the capabilities of con…

This https://arxiv.org/abs/2406.14567 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGR_…

DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization
High-quality motion reconstruction that follows the user's movements can be achieved by high-end mocap systems with many sensors. However, obtaining such animation quality with fewer input devices is gaining popularity as it brings mocap closer to the general public. The main challenges include the loss of end-effector accuracy in learning-based approaches, or the lack of naturalness and smoothness in IK-based solutions. In addition, such systems are often finely tuned to a specific number of t…

Optimal experiment design for practical parameter identifiability and model discrimination
Yue Liu (University of Oxford, Purdue University), Philip K. Maini (University of Oxford), Ruth E. Baker (University of Oxford)
https://arxiv.org/abs/2506.11311

Optimal experiment design for practical parameter identifiability and model discrimination
Mechanistic mathematical models of biological systems usually contain a number of unknown parameters whose values need to be estimated from available experimental data in order for the models to be validated and used to make quantitative predictions. This requires that the models are practically identifiable, that is, the values of the parameters can be confidently determined, given available data. A well-designed experiment can produce data that are much more informative for the purpose of inf…

Optimized and regularly repeated lattice-based Latin hypercube designs for large-scale computer experiments
Xu He, Junpeng Gong, Zhaohui Li
https://arxiv.org/abs/2506.04582

Optimized and regularly repeated lattice-based Latin hypercube designs for large-scale computer experiments
Computer simulations serve as powerful tools for scientists and engineers to gain insights into complex systems. Less costly than physical experiments, computer experiments sometimes involve large number of trials. Conventional design optimization and model fitting methods for computer experiments are inefficient for large-scale problems. In this paper, we propose new methods to optimize good lattice point sets, using less computation to construct designs with enhanced space-filling properties …

Turbulent separation control with a tilted wavy wall: a promising approach for energy savings in aerodynamic systems
Piotr Kami\'nski, Artur Tyliszczak, Witold Elsner, Pawe{\l} Niegodajew
https://arxiv.org/abs/2505.22611

Turbulent separation control with a tilted wavy wall: a promising approach for energy savings in aerodynamic systems
Recently, Kamiński et al. [1] demonstrated that a two-dimensional streamwise waviness with carefully selected amplitude and period can be effectively used in postponement of a flow separation at high Reynolds number which is out of reach for other commonly known passive flow control strategies. This paper demonstrates that this approach can be substantially improved by introducing a novel type of surface waviness characterized by tilting the subsequent waves. The research is performed by apply…

This https://arxiv.org/abs/2502.02959 has been replaced.
initial toot: https://mastoxiv.page/@…

Observation of slow relaxation due to Hilbert space fragmentation in strongly interacting Bose-Hubbard chains
While isolated quantum systems generally thermalize after long-time evolution, there are several exceptions defying thermalization. A notable mechanism of such nonergodicity is the Hilbert space fragmentation (HSF), where the Hamiltonian matrix splits into an exponentially large number of sectors due to the presence of nontrivial conserved quantities. Using ultracold gases, here we experimentally investigate the one-dimensional Bose-Hubbard system with neither disorder nor tilt potential, which…

K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
Tatiana Bespalova, Oumaya Ladhari, Guido Masella
https://arxiv.org/abs/2506.09658

K-ADAPT-VQE: Optimizing Molecular Ground State Searches by Chunking Operators
Classical simulation of molecular systems is limited by exponential scaling, a hurdle quantum algorithms like Variational Quantum Eigensolvers (VQEs) aim to overcome. Although ADAPT-VQE enhances VQEs by dynamically building ansätze, it can remain computationally intensive. This work presents K-ADAPT-VQE, which improves efficiency by adding operators in chunks of K at each iteration. Our results from simulating small molecular systems show that K-ADAPT-VQE substantially reduces the total number…

This https://arxiv.org/abs/2501.07327 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Community Aware Temporal Network Generation
The advantages of temporal networks in capturing complex dynamics, such as diffusion and contagion, has led to breakthroughs in real world systems across numerous fields. In the case of human behavior, face-to-face interaction networks enable us to understand the dynamics of how communities emerge and evolve in time through the interactions, which is crucial in fields like epidemics, sociological studies and urban science. However, state-of-the-art datasets suffer from a number of drawbacks, su…

This https://arxiv.org/abs/2412.01612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Iwasawa theory for weighted graphs
Let $p$ be a prime number and let $d$ be a positive integer. In this paper, we generalize Iwasawa theory for graphs initiated by Gonet and Vallières to weighted graphs. In particular, we prove an analogue of Iwasawa's class number formula and that of Kida's formula for compatible systems of $(\mathbb{Z}/p^n\mathbb{Z})^d$-covers of weighted graphs. We also provide numerical examples of characteristic elements and Iwasawa invariants. At the end of this paper, we give an application of the ideas …

Pinching Antenna Systems versus Reconfigurable Intelligent Surfaces in mmWave
Mostafa Samy, Hayder Al-Hraishawi, Madyan Alsenwi, Abuzar B. M. Adam, Symeon Chatzinotas, Bj\"orn Otteresten
https://arxiv.org/abs/2506.05102

Pinching Antenna Systems versus Reconfigurable Intelligent Surfaces in mmWave
Flexible and intelligent antenna designs, such as pinching antenna systems and reconfigurable intelligent surfaces (RIS), have gained extensive research attention due to their potential to enhance the wireless channels. This letter, for the first time, presents a comparative study between the emerging pinching antenna systems and RIS in millimeter wave (mmWave) bands. Our results reveal that RIS requires an extremely large number of elements (in the order of $10^4$) to outperform pinching anten…

Analyzing Line-of-sight selection biases in galaxy-scale strong lensing with external convergence and shear
Xianzhe TZ Tang, Simon Birrer, Anowar J. Shajib, Narayan Khadka, the LSST Strong Gravitational Lensing Science Collaboration, the LSST Dark Energy Science Collaboration
https://arxiv.org/abs/2506.04201

Analyzing Line-of-sight selection biases in galaxy-scale strong lensing with external convergence and shear
The upcoming Vera Rubin Observatory Legacy Survey of Space and Time (LSST) will dramatically increase the number of strong gravitational lensing systems, requiring precise modeling of line-of-sight (LOS) effects to mitigate biases in lensing observations and cosmological inferences. We develop a method to construct joint distributions of external convergence ($κ_{\mathrm{ext}}$) and shear ($γ_{\mathrm{ext}}$) for strong lensing LOS by aggregating large-scale structure simulations with high-re…

Modeling temporal hypergraphs
J\"urgen Lerner, Marian-Gabriel H\^ancean, Matjaz Perc
https://arxiv.org/abs/2506.01408 https://ar…

Modeling temporal hypergraphs
Networks representing social, biological, technological or other systems are often characterized by higher-order interaction involving any number of nodes. Temporal hypergraphs are given by ordered sequences of hyperedges representing sets of nodes interacting at given points in time. In this paper we discuss how a recently proposed model family for time-stamped hyperedges - relational hyperevent models (RHEM) - can be employed to define tailored null distributions for temporal hypergraphs. RHE…

EStacker: Explaining Battery-Less IoT System Performance with Energy Stacks
Lukas Liedtke, Per Gunnar Kjeldsberg, Frank Alexander Kraemer, Magnus Jahre
https://arxiv.org/abs/2505.22366

EStacker: Explaining Battery-Less IoT System Performance with Energy Stacks
The number of Internet of Things (IoT) devices is increasing exponentially, and it is environmentally and economically unsustainable to power all these devices with batteries. The key alternative is energy harvesting, but battery-less IoT systems require extensive evaluation to demonstrate that they are sufficiently performant across the full range of expected operating conditions. IoT developers thus need an evaluation platform that (i) ensures that each evaluated application and configuration…

Neural Network-based Universal Formulas for Control
Pol Mestres, Jorge Cort\'es, Eduardo D. Sontag
https://arxiv.org/abs/2505.24744 https://

Neural Network-based Universal Formulas for Control
We study the problem of designing a controller that satisfies an arbitrary number of affine inequalities at every point in the state space. This is motivated by the use of guardrails in autonomous systems. Indeed, a variety of key control objectives, such as stability, safety, and input saturation, are guaranteed by closed-loop systems whose controllers satisfy such inequalities. Many works in the literature design such controllers as the solution to a state-dependent quadratic program (QP) who…

This https://arxiv.org/abs/2505.21938 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection
Adversarial attacks on stochastic bandits have traditionally relied on some unrealistic assumptions, such as per-round reward manipulation and unbounded perturbations, limiting their relevance to real-world systems. We propose a more practical threat model, Fake Data Injection, which reflects realistic adversarial constraints: the attacker can inject only a limited number of bounded fake feedback samples into the learner's history, simulating legitimate interactions. We design efficient attack …

This https://arxiv.org/abs/2407.00903 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Implementation and topological characterization of Weyl exceptional rings in quantum-mechanical systems
Non-Hermiticity can lead to the emergence of many intriguing phenomena that are absent in Hermitian systems, enabled by exceptional topological defects, among which Weyl exceptional rings (WER) are particularly interesting. The topology of a WER can be characterized by the quantized Berry phase and a nonzero Chern number, both encoded in the eigenvectors of the non-Hermitian Hamiltonian. So far, WERs have been realized with classical wave systems, whose eigenvectors can be well described by cla…

Heterogeneous-IRS-Assisted MIMO Systems: Channel Estimation and Beamforming
Weibiao Zhao, Qiucen Wu, Yuanqi Tang, Yu Zhu
https://arxiv.org/abs/2506.10350 h…

Heterogeneous-IRS-Assisted MIMO Systems: Channel Estimation and Beamforming
Intelligent reflecting surface (IRS) has gained great attention for its ability to create favorable propagation environments. However, the power consumption of conventional IRSs cannot be ignored due to the large number of reflecting elements and control circuits. To balance performance and power consumption, we previously proposed a heterogeneous-IRS (HE-IRS), a green IRS structure integrating dynamically tunable elements (DTEs) and statically tunable elements (STEs). Compared to conventional …

iVAMS 3.0: Hierarchical-Machine-Learning-Metamodel-Integrated Intelligent Verilog-AMS for Ultra-Fast, Accurate Mixed-Signal Design Optimization
Saraju P. Mohanty, Elias Kougianos
https://arxiv.org/abs/2506.01045

iVAMS 3.0: Hierarchical-Machine-Learning-Metamodel-Integrated Intelligent Verilog-AMS for Ultra-Fast, Accurate Mixed-Signal Design Optimization
Analog/Mixed-Signal (AMS) circuits and systems continually present significant challenges to designers with the increase of design complexity and aggressive technology scaling. This is due to the large number of design factors and parameters that must be taken into account as well as the process variations which are prominent in nano-CMOS circuits. Design optimization techniques while presenting an accurate and fast design flow which can perform design optimization in reasonable time are still …

Fluctuations in the number of local minima in discrete-time fractional Brownian motion
Maxim Dolgushev, Olivier B\'enichou
https://arxiv.org/abs/2506.04159

Fluctuations in the number of local minima in discrete-time fractional Brownian motion
The analysis of local minima in time series data and random landscapes is essential across numerous scientific disciplines, offering critical insights into system dynamics. Recently, Kundu, Majumdar, and Schehr derived the exact distribution of the number of local minima for a broad class of Markovian symmetric walks [Phys. Rev. E \textbf{110}, 024137 (2024)]; however, many real-world systems are non-Markovian, typically due to interactions with possibly hidden degrees of freedom. This work inv…

This https://arxiv.org/abs/2503.18616 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

FF-SRL: High Performance GPU-Based Surgical Simulation For Robot Learning
Robotic surgery is a rapidly developing field that can greatly benefit from the automation of surgical tasks. However, training techniques such as Reinforcement Learning (RL) require a high number of task repetitions, which are generally unsafe and impractical to perform on real surgical systems. This stresses the need for simulated surgical environments, which are not only realistic, but also computationally efficient and scalable. We introduce FF-SRL (Fast and Flexible Surgical Reinforcement …

This https://arxiv.org/abs/2505.05386 has been replaced.
initial toot: https://mastoxiv.page/@a…

Ballistic-to-diffusive transition in engineered counter-propagating quantum Hall channels
Exotic quantum Hall systems hosting counter-propagating edge states can show seemingly non-universal transport regimes, usually depending on the size of the sample. We experimentally probe transport in a quantum Hall sample engineered to host a tunable number of counter-propagating edge states. The latter are coupled by Landauer reservoirs, which force charge equilibration over a tunable effective length. We show that charge transport is determined by the balance of up- and downstream channels,…

Exploring the energy landscape of the Thomson problem: local minima and stationary states
Paolo Amore, Victor Figueroa, Enrique Diaz, Jorge A. L\'opez, Trevor Vincent
https://arxiv.org/abs/2506.08398

Exploring the energy landscape of the Thomson problem: local minima and stationary states
We conducted a comprehensive numerical investigation of the energy landscape of the Thomson problem for systems up to $N=150$. Our results show the number of distinct configurations grows exponentially with $N$, but significantly faster than previously reported. Furthermore, we find that the average energy gap between independent configurations at a given $N$ decays exponentially with $N$, dramatically increasing the computational complexity for larger systems. Finally, we developed a novel app…

This https://arxiv.org/abs/2407.08438 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Symmetries of power-free integers in number fields and their shift spaces
We describe the group of $\mathbb Z$-linear automorphisms of the ring of integers of a number field $K$ that preserve the set $V_{K,k}$ of $k$th power-free integers: every such map is the composition of a field automorphism and the multiplication by a unit. We show that those maps together with translations generate the extended symmetry group of the shift space $\mathbb D_{K,k}$ associated to $V_{K,k}$. Moreover, we show that no two such dynamical systems $\mathbb D_{K,k}$ and $\mathbb D_{L,…

Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices
L. Bergamaschi, A. Martinez, J. W. Pearson, A. Potschka
https://arxiv.org/abs/2506.02816

Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices
We develop eigenvalue bounds for symmetric, block tridiagonal multiple saddle-point linear systems, preconditioned with block diagonal matrices. We extend known results for $3 \times 3$ block systems [Bradley and Greif, IMA J.\ Numer. Anal. 43 (2023)] and for $4 \times 4$ systems [Pearson and Potschka, IMA J. Numer. Anal. 44 (2024)] to an arbitrary number of blocks. Moreover, our results generalize the bounds in [Sogn and Zulehner, IMA J. Numer. Anal. 39 (2018)], developed for an arbitrary numb…

This https://arxiv.org/abs/2404.19431 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Toward Practical and Theoretical Integration of Sensing and Communication in URA Systems
This work addresses the problem of integrated sensing and communications (ISAC) involving a massive number of unsourced and uncoordinated users. In the proposed model, known as the unsourced ISAC system (UNISAC), all active communication and sensing users simultaneously share a short frame to transmit their signals without requiring scheduling by the base station or the need to announce their identities. Consequently, the received signal from each user is heavily affected by interference from n…

This https://arxiv.org/abs/2505.14767 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Ordering the topological order in the fractional quantum Hall effect
We discuss the possible topological order/topological quantum field theory of different quantum Hall systems. Given the value of the Hall conductivity, we constrain the global symmetry of the low-energy theory and its anomaly. Specifically, the one-form global symmetry and its anomaly are presented as the organizing principle of these systems. This information is powerful enough to lead to a unique minimal topological order (or a small number of minimal topological orders). Almost all of the kn…

This https://arxiv.org/abs/2502.05954 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

Optimization under Attack: Resilience, Vulnerability, and the Path to Collapse
Optimization is instrumental for improving operations of large-scale socio-technical infrastructures of Smart Cities, for instance, energy and traffic systems. In particular, understanding the performance of multi-agent discrete-choice combinatorial optimization under distributed adversary attacks is a compelling and underexplored problem, since multi-agent systems exhibit a large number of remote control variables that can influence in an unprecedented way the cost-effectiveness of distributed…

A Novel Cost-Effective MIMO Architecture with Ray Antenna Array for Enhanced Wireless Communication Performance
Zhenjun Dong, Zhiwen Zhou, Yong Zeng
https://arxiv.org/abs/2505.23394

A Novel Cost-Effective MIMO Architecture with Ray Antenna Array for Enhanced Wireless Communication Performance
This paper proposes a novel multi-antenna architecture, termed ray antenna array (RAA), which practically enables flexible beamforming and also enhances wireless communication performance for high frequency systems in a cost-effective manner. RAA consists of a large number of inexpensive antenna elements and a few radio frequency (RF) chains. These antenna elements are arranged in a novel ray like structure, where each ray corresponds to one simple uniform linear array (sULA) with a carefully d…

This https://arxiv.org/abs/2410.14213 has been replaced.
initial toot: https://mastoxiv.page/@a…

Quantum geometric tensor in systems with fractional band dispersion
We investigate the quantum geometric tensor, which is comprised of the Berry curvature and quantum metric, in a generalized Dirac two-band system with non-integer dispersion $E(\mathbf{k})\sim k^α$. Our analysis reveals that this type of dispersion introduces significant and novel effects on quantum band geometry. We calculate the Berry curvature and observe its redistribution in momentum space as \(α\) varies. Notably, despite this redistribution, the change in Chern number across topologica…

Unifying Framework for Amplification Mechanisms: Criticality, Resonance and Non-Normality
Virgile Troude, Didier Sornette
https://arxiv.org/abs/2506.01996 …

Unifying Framework for Amplification Mechanisms: Criticality, Resonance and Non-Normality
We bring together three key amplification mechanisms in linear dynamical systems: spectral criticality, resonance, and non-normality. We disentangle and quantitatively couple these effects through two fundamental parameters: (i) the spectral distance to a conventional bifurcation or to a resonance and (ii) a non-normal index K (or condition number $κ$) that measures the obliqueness of the eigenvectors. Closed-form expressions for the system's response to both Gaussian noise and periodic forcin…

Packing3D: An Open-Source Analytical Framework for Computing Packing Density and Mixing Indices Using Partial Spherical Volumes
Freddie Barter, Christopher R. K. Windows-Yule
https://arxiv.org/abs/2506.08852

Packing3D: An Open-Source Analytical Framework for Computing Packing Density and Mixing Indices Using Partial Spherical Volumes
Accurate quantification of local packing density and mixing in simulations of particulate systems is essential for many industrial applications. Traditional methods which simply count the number of particle centres within a given volume of space (cell) introduce discontinuities at cell boundaries, leading to unreliable measurement of packing density. We introduce Packing3D.jl, an open-source Julia package providing analytic, partial-volume calculations for spheres intersecting Cartesian and cyl…

On the Role of Early-Termination for Age of Information in Tree-Based Random Access Protocols
Andrea Munari, Cedomir Stefanovic
https://arxiv.org/abs/2506.04793

On the Role of Early-Termination for Age of Information in Tree-Based Random Access Protocols
Age of Information (AoI) has emerged as a key metric for assessing data freshness in IoT applications, where a large number of devices report time-stamped updates to a monitor. Such systems often rely on random access protocols based on variations of ALOHA at the link layer, where collision resolution algorithms play a fundamental role to enable reliable delivery of packets. In this context, we provide the first analytical characterization of average AoI for the classical Capetanakis tree-based…

This https://arxiv.org/abs/2505.20002 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Efficient Gaussian Mixture Filters based on Transition Density Approximation
Gaussian mixture filters for nonlinear systems usually rely on severe approximations when calculating mixtures in the prediction and filtering step. Thus, offline approximations of noise densities by Gaussian mixture densities to reduce the approximation error have been proposed. This results in exponential growth in the number of components, requiring ongoing component reduction, which is computationally complex. In this paper, the key idea is to approximate the true transition density by an a…

This https://arxiv.org/abs/2411.13669 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum Algorithm for Vibronic Dynamics: Case Study on Singlet Fission Solar Cell Design
Vibronic interactions between nuclear motion and electronic states are critical for the accurate modeling of photochemistry. However, accurate simulations of fully quantum non-adiabatic dynamics are often prohibitively expensive for classical methods beyond small systems. In this work, we present a quantum algorithm based on product formulas for simulating time evolution under a general vibronic Hamiltonian in real space, capable of handling an arbitrary number of electronic states and vibratio…

Hierarchy of localized many-body bound states in an interacting open lattice
Yanxia Liu, Shu Chen
https://arxiv.org/abs/2505.23255 https://

Hierarchy of localized many-body bound states in an interacting open lattice
We unveil the mechanism for the formation of puzzled boundary-localized bound states in a spinless fermionic open lattice with nearest-neighbor interactions. By solving the Bethe-ansatz equation analytically, we uncover asymmetrical string solutions corresponding to the boundary-localized bound states, which emerge in systems with at least three particles. The localized bound states can become bound states in continuum in a suitable parameter region. When the number of particles increases to fi…

The Density Distribution of Compressively-Forced Supersonic Turbulence Depends on the Driving Correlation Time
Philipp Grete, Evan Scannapieco, Marcus Br\"uggen, Liubin Pan
https://arxiv.org/abs/2505.23898

The Density Distribution of Compressively-Forced Supersonic Turbulence Depends on the Driving Correlation Time
Supersonic turbulence plays a critical role in shaping astrophysical systems, from molecular clouds to the circumgalactic medium. Key properties of this turbulence include the Mach number, driving scale, and nature of the driving mechanism, which can be solenoidal (divergence-free), compressive (curl-free), or a mix of the two. A less studied property is the correlation time of the driving accelerations, $τ_{\rm a}.$ While this timescale has a minimal impact on solenoidally-driven turbulence, …

Kolmogorov-Arnold Wavefunctions
Paulo F. Bedaque, Jacob Cigliano, Hersh Kumar, Srijit Paul, Suryansh Rajawat
https://arxiv.org/abs/2506.02171 https://

Kolmogorov-Arnold Wavefunctions
This work investigates Kolmogorov-Arnold network-based wavefunction ansatz as viable representations for quantum Monte Carlo simulations. Through systematic analysis of one-dimensional model systems, we evaluate their computational efficiency and representational power against established methods. Our numerical experiments suggest some efficient training methods and we explore how the computational cost scales with desired precision, particle number, and system parameters. Roughly speaking, KAN…

This https://arxiv.org/abs/2504.12885 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Optimizing Movable Antennas in Wideband Multi-User MIMO With Hardware Impairments
Movable antennas represent an emerging field in telecommunication research and a potential approach to achieving higher data rates in multiple-input multiple-output (MIMO) communications when the total number of antennas is limited. Most solutions and analyses to date have been limited to \emph{narrowband} setups. This work complements the prior studies by quantifying the benefit of using movable antennas in \emph{wideband} MIMO communication systems. First, we derive a novel uplink wideband sy…