Telecomunicaciones, información y comunicación

The engineer racing to run the world’s most dangerous algorithm

25/08/2026 - Craig Gidney is largely unknown outside of quantum computing, but his pioneering work on quantum circuits could have huge consequences for us all, ushering in both useful quantum computers, and the...

Holographic entropy inequalities pass the majorization test, by Bartłomiej Czech, Yichen Feng, Xianlai Wu, Minjun Xie

24/08/2026 - Quantities computed by minimal cuts, such as entanglement entropies achievable by the Ryu-Takayanagi proposal in the AdS/CFT correspondence, are constrained by linear inequalities. We prove a...

Reflections on time-reversal in the symmetry topological field theory, by Lea E. Bottini, Nick G. Jones

24/08/2026 - Symmetry under time-reversal appears in the microscopic description of many physical systems. In a quantum mechanical setting it acts as an anti-unitary operator, so does not fall under general...

The weight of spin(32)$/mathbb{Z}_2$ little strings: T-duality and Hasse diagrams, by Hamza Ahmed, Florent Baume, Paul-Konstantin Oehlmann

25/08/2026 - We study the worldvolume theories of stacks of $\text{Spin}(32)/\mathbb{Z}_2$ heterotic NS5-branes probing a transverse singularity $\mathfrak{g}$. We revisit and extend the original classification...

Who can compete with quantum computers? Lecture notes on quantum inspired tensor networks computational techniques, by Xavier Waintal, Chen-How Huang, Christoph W. Groth

25/08/2026 - This is a set of lectures on tensor networks with a strong emphasis on the core algorithms involving Matrix Product States (MPS) and Matrix Product Operators (MPO). Compared to other presentations,...

Flat-band localization and chiral texture formation in magnonic crystals with graded Dzyaloshinskii–Moriya interaction, by Jorge Flores-Farías, Pedro Contreras-Gallardo, Felipe Brevis, Matias Cepeda-Arancibia, David Cortés-Ortuño, Pedro Landeros, Rodolfo A. Gallardo

25/08/2026 - Spatially graded magnetic nanostructures offer a powerful route to control collective excitations beyond the limitations of simple periodic materials. In this work, spin-wave localization and...

A Compact Multijoint Finger Motion Sensing Module for Flexible Exoskeleton Applications

25/08/2026 - Addressing the motion estimation gap in underactuated wearable electronics, a highly integrated sensor alongside a customized readout circuit is proposed. Featuring a screen‐printed layout and...

Distributed State Estimation for Mobile Robots in LiDAR Sensor Networks With Intermittent Inertial Measurements

25/08/2026 - A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based...

A Cable‐Driven Parallel Wire Robot for Probe Positioning and Tissue Palpation on Curved Phantoms

25/08/2026 - A wearable cable‐driven parallel robot is introduced for autonomous ultrasound probe positioning and soft tissue palpation on curved surfaces. By combining visual feedback with tension‐optimized...

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

25/08/2026 - Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning,...

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

25/08/2026 - (a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return...

Bayesian Optimization–Reinforcement Learning Hybrid Framework for a‐IGZO Thin‐Film Transistor Compact Model Parameter Extraction in 2T0C Dynamic Random Access Memory Applications

25/08/2026 - A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian...

Aligning behavior by learning action restrictions

25/08/2026 - If we are to trust autonomous agents, we must ensure that they respect our values. Respecting values manifests in behavior — respecting a value means acting in a way that reflects that value. We...

Lack of sleep may cause anxiety by making us less adaptable to threats

24/08/2026 - People who were deprived of sleep overnight didn't seem to adapt to being in a potentially threatening space, which may help explain the link between a lack of shuteye and anxiety

Why banishing irrational numbers could trigger a revolution in quantum theory

24/08/2026 - Irrational numbers have underpinned quantum mechanics for a century. Removing them could eliminate its strangest features and trigger the biggest upheaval in physics since quantum theory began

Reframing the human–robot ratio: Collaborative autonomy and the attention‐demand economy

24/08/2026 - The human–robot ratio is a useful design heuristic for supervisory robot control. However, advances in AI, computation, and reliable autonomy enable existing systems to extend beyond hierarchical...

GEMA: Graph Embeddings for Multi‐Agent Coordination

24/08/2026 - Many cooperative multi‐agent tasks are naturally defined by graph‐structured objectives, where agents must collectively reach, for example, a desired relational configuration or satisfy a set of...

Privacy‐preserving multi‐agent systems for human‐centred inclusive healthcare AI

24/08/2026 - ABSTRACTHealthcare environments present uniquely demanding constraints for the deployment of artificial intelligence (AI). Clinical decisions of significant consequence are rarely the product of a...

Emergence of Functional Heart-Brain Circuits in a Vertebrate

23/08/2026 - The early formation of sensorimotor circuits is essential for survival. While the development and function of exteroceptive circuits and their associated motor pathways are well characterized, far...

Bayesian Network Structure Learning: The New Calibrated Minimum Uncertainty Criterion and Discriminative Power Evaluation Framework

23/08/2026 - Bayesian network (BN) structure learning (BNSL) from heterogeneous data is a classical problem in probabilistic machine learning and knowledge discovery. A variety of computational methods exist for...

Intracranial Validation of Magnetoencephalography Across Oscillatory Frequency and Depth

23/08/2026 - Non-invasive, whole-brain neuroimaging methods such as functional magnetic resonance imaging, electroencephalography (EEG), and magnetoencephalography (MEG) are essential tools for studying the basis...