Tootfinder

Universal cooling of quantum systems via randomized measurements
Josias Langbehn, George Mouloudakis, Emma King, Rapha\"el Menu, Igor Gornyi, Giovanna Morigi, Yuval Gefen, Christiane P. Koch
https://arxiv.org/abs/2506.11964

Universal cooling of quantum systems via randomized measurements
It is generally believed that the design of cooling protocols requires knowledge of the system's spectrum. In contrast, cooling processes in nature occur whenever the system is coupled to a cold bath. But how does nature know how to cool quantum systems? Here we address this question by mimicking a natural cold bath with a reservoir of "meter" qubits that are initialized in their ground state and interact with the system sequentially for a specified time before being discarded. This protocol is…

State constrained stochastic optimal control of a PV system with battery storage via Fokker-Planck and Hamilton-Jacobi-Bellman equations
Alfredo Berm\'udez, Iago Pad\'in
https://arxiv.org/abs/2506.11765

State constrained stochastic optimal control of a PV system with battery storage via Fokker-Planck and Hamilton-Jacobi-Bellman equations
With the growing global emphasis on sustainability and the implementation of contemporary environmental policies, the penetration of renewable energy sources has significantly increased --primarily due to their inexhaustible nature. In this context, integrating photovoltaic (PV) modules with energy storage systems offers a means to mitigate the inherent variability of solar energy. This paper proposes an optimal methodology for power management and market bidding strategies tailored to PV power…

The Shape of Dark Energy: Constraining Its Evolution with a General Parametrization
Dong Ha Lee, Weiqiang Yang, Eleonora Di Valentino, Supriya Pan, Carsten van de Bruck
https://arxiv.org/abs/2507.11432

The Shape of Dark Energy: Constraining Its Evolution with a General Parametrization
We consider a general dark energy (DE) model parametrized by its equation-of-state (EoS), featuring three free parameters: $w_0$ (the present-day value of the DE EoS), $w_β$ (quantifying the dynamical nature of the DE EoS), and $β$ (governing various dynamical forms of the DE EoS). The key controlling parameter $β$ can recover several existing DE models in the literature, such as the Chevallier-Polarski-Linder (CPL) parametrization ($β= 1$), the logarithmic parametrization (in the limit $β…

1/2 'Glitzer' #FotoVorschlag 'glitter'
I don't have a lot of glitter in my portfolio. But #snowflakes can be like glitter in the counter light!
I took this #photo …

Magnetic Field Dependence of Critical Fluctuations in CeCu$_{5.8}$Ag$_{0.2}$
X. Boraley, A. D. Christianson, J. Lass, C. Balz, M. Bartkowiak, Ch. Niedermayer, J. M. Lawrence, L. Poudel, D. G. Mandrus, F. Ronning, M. Janoschek, D. G. Mazzone
https://arxiv.org/abs/2509.10285

Magnetic Field Dependence of Critical Fluctuations in CeCu$_{5.8}$Ag$_{0.2}$
Quantum phase transitions are among the most intriguing phenomena that can occur when the electronic ground state of correlated metals are tuned by external parameters such as pressure, magnetic field or chemical substitution. Such transitions between distinct states of matter are driven by quantum fluctuations, and can give rise to macroscopically coherent phases that are at the forefront of condensed matter research. However, the nature of the critical fluctuations, and thus the fundamental p…

Scalable Synthesis and Verification of String Stable Neural Certificates for Interconnected Systems
Jingyuan Zhou, Haoze Wu, Haokun Yu, Kaidi Yang
https://arxiv.org/abs/2509.10118

Scalable Synthesis and Verification of String Stable Neural Certificates for Interconnected Systems
Ensuring string stability is critical for the safety and efficiency of large-scale interconnected systems. Although learning-based controllers (e.g., those based on reinforcement learning) have demonstrated strong performance in complex control scenarios, their black-box nature hinders formal guarantees of string stability. To address this gap, we propose a novel verification and synthesis framework that integrates discrete-time scalable input-to-state stability (sISS) with neural network verif…

Further evidence for natal kick segregation by spectral type in high-mass X-ray binaries
Pornisara Nuchvanichakul, Poshak Gandhi, Christian Knigge, Yue Zhao, Puji Irawati, Suwicha Wanawichian, Cordelia Dashwood Brown
https://arxiv.org/abs/2509.10221

Further evidence for natal kick segregation by spectral type in high-mass X-ray binaries
High-mass X-ray binaries (HMXBs) are systems in which a neutron star or black hole accretes material from a massive companion. HMXBs are expected to have experienced a supernova in their evolution. The impulsive kick associated with this event should affect the space velocity of the system in a way that depends on the nature and state of the progenitor binary. Here, we test whether the different evolutionary histories of HMXBs have left a detectable imprint on their peculiar velocities ($V_{\rm…

CATVis: Context-Aware Thought Visualization
Tariq Mehmood, Hamza Ahmad, Muhammad Haroon Shakeel, Murtaza Taj
https://arxiv.org/abs/2507.11522 https://

CATVis: Context-Aware Thought Visualization
EEG-based brain-computer interfaces (BCIs) have shown promise in various applications, such as motor imagery and cognitive state monitoring. However, decoding visual representations from EEG signals remains a significant challenge due to their complex and noisy nature. We thus propose a novel 5-stage framework for decoding visual representations from EEG signals: (1) an EEG encoder for concept classification, (2) cross-modal alignment of EEG and text embeddings in CLIP feature space, (3) captio…

A scalable quantum-neural hybrid variational algorithm for ground state estimation
Minwoo Kim, Kyoung Keun Park, Uihwan Jeong, Sanghyeon Lee, Taehyun Kim
https://arxiv.org/abs/2507.11002

A scalable quantum-neural hybrid variational algorithm for ground state estimation
We propose the unitary variational quantum-neural hybrid eigensolver (U-VQNHE), which improves upon the original VQNHE by enforcing unitary neural transformations. The non-unitary nature of VQNHE causes normalization issues and divergence of the loss function during training, leading to exponential scaling of measurement overhead with qubit number. U-VQNHE resolves these issues, significantly reduces required measurements, and retains improved accuracy and stability over standard variational qu…

Value Function Initialization for Knowledge Transfer and Jump-start in Deep Reinforcement Learning
Soumia Mehimeh
https://arxiv.org/abs/2508.09277 https://…

Value Function Initialization for Knowledge Transfer and Jump-start in Deep Reinforcement Learning
Value function initialization (VFI) is an effective way to achieve a jumpstart in reinforcement learning (RL) by leveraging value estimates from prior tasks. While this approach is well established in tabular settings, extending it to deep reinforcement learning (DRL) poses challenges due to the continuous nature of the state-action space, the noisy approximations of neural networks, and the impracticality of storing all past models for reuse. In this work, we address these challenges and intro…

Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems
Michael Kartmann, Benedikt Klein, Mario Ohlberger, Thomas Schuster, Stefan Volkwein
https://arxiv.org/abs/2507.11130

Adaptive Reduced Basis Trust Region Methods for Parabolic Inverse Problems
We consider nonlinear inverse problems arising in the context of parameter identification for parabolic partial differential equations (PDEs). For stable reconstructions, regularization methods such as the iteratively regularized Gauss-Newton method (IRGNM) are commonly used, but their application is computationally demanding due to the high-dimensional nature of PDE discretizations. To address this bottleneck, we propose a reduced-order modeling approach that accelerates both the state and adj…

Identifying efficient routes to laminarization: an optimization approach
Jake Buzhardt, Michael D. Graham
https://arxiv.org/abs/2508.08519 https://arxiv.or…

Identifying efficient routes to laminarization: an optimization approach
The inherently nonlinear and chaotic nature of turbulent flows poses a major challenge for designing control strategies to maintain or induce low-drag laminar states. In this work, we study the concept of the minimal seed for relaminarization - the smallest perturbation of a turbulent state that triggers a direct transition to laminar flow without a chaotic transient. We formulate the identification of this optimal perturbation as a fully nonlinear optimization problem and develop a numerical f…

Corner-Sharing PS$_4$-BS$_4$ Modes Facilitate Fast Ion Conduction in Lithium Thioborophosphate Iodide Glassy Solid Electrolytes
Yun An
https://arxiv.org/abs/2507.08215

Corner-Sharing PS$_4$-BS$_4$ Modes Facilitate Fast Ion Conduction in Lithium Thioborophosphate Iodide Glassy Solid Electrolytes
Glassy solid electrolytes (GSEs), with their amorphous nature and the absence of grain boundaries, make them highly attractive for applications in all-solid-state lithium batteries (ASSLBs), a leading candidate for next-generation energy storage technologies. A recently developed lithium thioborophosphate iodide GSE, composed of 30Li$_2$S-25B$_2$S$_3$-45LiI-5P$_2$S$_5$ (LBPSI), has demonstrated excellent room-temperature ionic conductivity and low activation energy. Despite this exciting findin…

Liv\v{s}ic regularity for random and sequential dynamics through transfer operators
Lucas Backes, Davor Dragicevic, Yeor Hafouta
https://arxiv.org/abs/2508.08972 https://…

Livšic regularity for random and sequential dynamics through transfer operators
We prove Livšic-type regularity results of coboundary representations for non-autonomous dynamical systems. Our results have an abstract nature and apply to several important specific situations, such as (higher-dimensional) random or sequential piecewise expanding maps and subshifts of finite type, which have applications to Markov interval maps and to finite state inhomogeneous elliptic Markov shifts, via symbolic representations. We also obtain results for some classes of non-autonomous hyp…

Breaking Dark: Hunting Heavy Decaying Dark Matter with Tibet AS$_\gamma$ and LHAASO-KM2A
Abhishek Dubey, Akash Kumar Saha
https://arxiv.org/abs/2509.08039 https://

Breaking Dark: Hunting Heavy Decaying Dark Matter with Tibet AS$_γ$ and LHAASO-KM2A
Recent measurements of diffuse sub-PeV gamma-rays by the Tibet AS$_γ$ and LHAASO collaborations have reshaped our understanding of the gamma-ray sky. Besides uncovering the nature of `PeVatrons', these measurements can also be used to probe the non-gravitational nature of dark matter. PeV-scale decaying dark matter can produce high-energy gamma rays in the final state and contribute to the measurements made by extensive air-shower detectors like Tibet AS$_γ$ and LHAASO. Using the latest Tibet…

A Scalable Machine Learning Approach Enabled RIS Optimization with Implicit Channel Estimation
Bile Peng, Vahid Jamali, Eduard Jorswieck
https://arxiv.org/abs/2508.07265 https:/…

A Scalable Machine Learning Approach Enabled RIS Optimization with Implicit Channel Estimation
The reconfigurable intelligent surface (RIS) is considered as a key enabler of the next-generation mobile radio systems. While attracting extensive interest from academia and industry due to its passive nature and low cost, scalability of RIS elements and requirement for channel state information (CSI) are two major difficulties for the RIS to become a reality. In this work, we introduce an unsupervised machine learning (ML) enabled optimization approach to configure the RIS. The dedicated neur…

🤮 the state of alabama
🤔 the state of nature
😍 the state of proto-sino-tibetan reconstruction

Bell states for fermions in loop quantum gravity
Hanno Sahlmann, Martin Zei{\ss}
https://arxiv.org/abs/2508.04704 https://arxiv.org/pdf/2508.04704

Bell states for fermions in loop quantum gravity
Fermion fields are fundamental for the description of nature and also fit very naturally into the framework of loop quantum gravity. Motivated partially by proposals to use gravitationally mediated entanglement of matter as a witness for the quantum nature of gravity, we investigate how such entanglement can be defined and investigated in loop quantum gravity. In particular, we ask how a pair of fermions in a Bell state could be described in loop quantum, gravity. We demonstrate that the noti…

Rotation Errors Due to Field Quantization for Simultaneously Driven Atoms
Hunter Lindemann, Shanon Vuglar, Julio Gea-Banacloche
https://arxiv.org/abs/2508.06769 https://

Rotation Errors Due to Field Quantization for Simultaneously Driven Atoms
When an electromagnetic field in a coherent or quasiclassical (e.g., squeezed) state is used to simultaneously drive an ensemble of two-level atoms, the quantum nature of the field will, in general, cause the final state of the atoms to differ from the one predicted for a totally classical field. This is a potential source of error in quantum logic gates in which the gate is the rotation of the atoms by a laser. In this paper, we use second order perturbation theory to find how this error scale…

Observation of Anomalous Hall Effect in Bulk Single Crystals of n-type Cr-doped Sb$_{2}$Te$_{3}$ Magnetic Topological Insulator
Ali Sarikhani (Material Research Center, Missouri University of Science and Technology, Rolla, MO), Mathew Pollard (Department of Physics, Missouri University of Science and Technology, Rolla, MO), Jacob Cook (Department of Physics and Astronomy, University of Missouri, Columbia, MO), Sheng Qiu (Department of Physics, Missouri University of Science and Technol…

Observation of Anomalous Hall Effect in Bulk Single Crystals of n-type Cr-doped Sb$_{2}$Te$_{3}$ Magnetic Topological Insulator
The exploration of topological Dirac surface states is significant in the realms of condensed matter physics and future technological innovations. Among the materials garnering attention is Sb$_{2}$Te$_{3}$, a compound that theoretically exhibits topological insulating properties. However, its inherent p-type nature prevents the direct experimental verification of its Dirac surface state due to the Fermi level alignment with the valence band. In this study, by doping Cr atoms into Sb$_{2}$Te$_{…

A New Approach to the Glass Transition of Percolated Polymers from the Perspective of Thermal Volume Expansion
Jan-Kristian Kr\"uger, Bernd Wetzel, Andreas Klingler
https://arxiv.org/abs/2509.03174

A New Approach to the Glass Transition of Percolated Polymers from the Perspective of Thermal Volume Expansion
In 1995, the Nobel Price winner P.W. Anderson made the following remarkable statement: The deepest and most interesting unsolved problem in solid state theory is probably the theory of the nature of glass and glass transition. Although there have been new theoretical developments in the meantime, in our opinion, this situation has only improved marginally to date. One of the main reasons is the insufficient consideration of experimental boundary conditions. A central experimental problem arises…

Excitonic description of singlet fission beyond dimer model : a matrix product state approach
Supriyo Santra, Amartya Bose, Debashree Ghosh
https://arxiv.org/abs/2509.03966 http…

Excitonic description of singlet fission beyond dimer model : a matrix product state approach
The importance of singlet fission as a fundamental process with a variety of implications in energy harvesting cannot be overstated. The challenge is in characterizing the energy states of these large singlet fission molecular aggregates that participate in the process. Large dimensionality and essential multi-configuration nature of the electronic states of interest combine to make accurate ab initio calculations prohibitively difficult. We present a spin-resolved tight-binding excitonic model…

Quantum Mpemba-like effect in Unruh thermalization
Zihao Wang, Wenjing Chen, Si-Wei Han, Xiaoshan Feng, Linmu Qiao, Zhichun Ouyang, Jun Feng
https://arxiv.org/abs/2509.05756 htt…

Quantum Mpemba-like effect in Unruh thermalization
We revisit the thermal nature of the Unruh effect within a quantum thermodynamic framework. For a Unruh-deWitt (UDW) detector in $n$-dimensional Minkowski spacetime, we demonstrate that its irreversible thermalization to a Gibbs equilibrium state follows distinct trajectories on the Bloch sphere, which depend on the types of fields the detector interacts with, as well as the spacetime dimensionality. Using thermodynamic process functions, particularly quantum coherence and heat that form the qu…

Ionization/dissociation-driven first order phase transitions: on a new class of first order phase transitions
Genri Norman, Ilnur Saitov
https://arxiv.org/abs/2509.01273 https:/…

Ionization/dissociation-driven first order phase transitions: on a new class of first order phase transitions
In this work, we compare various models for describing the phase transition of the fluid hydrogen into a conducting state, including both chemical models of plasma and first-principle simulations within the framework of the density functional theory (DFT). The comparison of the results indicates the plasma nature of the phase transition in warm dense hydrogen. We propose a concept of a new class of first-order phase transitions: ionization or dissociation-driven phase transitions, with which th…

Unveiling the Actual Performance of Neural-based Models for Equation Discovery on Graph Dynamical Systems
Riccardo Cappi, Paolo Frazzetto, Nicol\`o Navarin, Alessandro Sperduti
https://arxiv.org/abs/2508.18173

Unveiling the Actual Performance of Neural-based Models for Equation Discovery on Graph Dynamical Systems
The ``black-box'' nature of deep learning models presents a significant barrier to their adoption for scientific discovery, where interpretability is paramount. This challenge is especially pronounced in discovering the governing equations of dynamical processes on networks or graphs, since even their topological structure further affects the processes' behavior. This paper provides a rigorous, comparative assessment of state-of-the-art symbolic regression techniques for this task. We evaluate …

One hundred years ago today, downtown Santa Barbara was devastated by an earthquake centered just offshore.
The main commercial district, State Street, was in ruins. Some buildings completely collapsed
— the vulnerability in their designs laid bare by the power of Mother Nature. Around a dozen people died.
Yet, despite the destruction, the great Santa Barbara earthquake remains relatively obscure, seismically speaking,
even in a state notorious for its shaking.

Quake devastated Santa Barbara 100 years ago. What can it teach us?
In California, where the next “Big One” is an always-looming threat, some lessons learned from the 1925 Santa Barbara quake resonate even 100 years later, experts say.

"New bat species described from Western Himalayas"
#Bats #Animals
https://

New bat species described from Western Himalayas
Researchers reviewing the diversity of bats in the Western Himalayas in India recently confirmed a new-to-science species from Uttarakhand state. Named the Himalayan long-tailed myotis (Myotis himalaicus) in a new study, the bat boasts a tail nearly as long as its body. Rohit Chakravarty, a bat researcher and conservationist with the nonprofit Nature Conservation Foundation, […]

Illuminating Dark Energy with Bright Standard Sirens from Future Detectors
Samsuzzaman Afroz, Suvodip Mukherjee, Gianmassimo Tasinato
https://arxiv.org/abs/2507.06340

Illuminating Dark Energy with Bright Standard Sirens from Future Detectors
Understanding the nature and evolution of dark energy (DE) is a central challenge in modern cosmology. In this work, we explore the constraining power of bright standard sirens -- gravitational wave (GW) events with electromagnetic counterparts - for probing the DE equation of state as function of redshift. Focusing on future GW observations from next-generation ground-based GW detectors such as the Einstein Telescope and Cosmic Explorer, we perform a comprehensive analysis using simulated bina…

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation
Rongchang Zhao, Huanchi Liu, Jian Zhang
https://arxiv.org/abs/2507.01323 https://

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation
Vascular segmentation in medical images is crucial for disease diagnosis and surgical navigation. However, the segmented vascular structure is often discontinuous due to its slender nature and inadequate prior modeling. In this paper, we propose a novel Serpentine Window Mamba (SWinMamba) to achieve accurate vascular segmentation. The proposed SWinMamba innovatively models the continuity of slender vascular structures by incorporating serpentine window sequences into bidirectional state space m…

11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis
Chengzu Li, Wenshan Wu, Huanyu Zhang, Qingtao Li, Zeyu Gao, Yan Xia, Jos\'e Hern\'andez-Orallo, Ivan Vuli\'c, Furu Wei
https://arxiv.org/abs/2508.20068

11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis
For human cognitive process, spatial reasoning and perception are closely entangled, yet the nature of this interplay remains underexplored in the evaluation of multimodal large language models (MLLMs). While recent MLLM advancements show impressive performance on reasoning, their capacity for human-like spatial cognition remains an open question. In this work, we introduce a systematic evaluation framework to assess the spatial reasoning abilities of state-of-the-art MLLMs relative to human pe…

SoK: Current State of Ethereum's Enshrined Proposer Builder Separation
Maxwell Koegler
https://arxiv.org/abs/2506.18189 https://a…

SoK: Current State of Ethereum's Enshrined Proposer Builder Separation
Initially introduced to Ethereum via Flashbots' MEV-boost, Proposer-Builder Separation allows proposers to auction off blockspace to a market of transaction orderers, known as builders. PBS is currently available to validators through the aforementioned MEV-boost, but its unregulated and relay-dependent nature has much of the Ethereum community calling for its enshrinement. Providing a protocol-integrated PBS marketspace and communication channel for payload outsourcing is termed PBS enshrineme…

Learning from nature: insights into GraphDOP's representations of the Earth System
Peter Lean, Mihai Alexe, Eulalie Boucher, Ewan Pinnington, Simon Lang, Patrick Laloyaux, Niels Bormann, Anthony McNally
https://arxiv.org/abs/2508.18018

Learning from nature: insights into GraphDOP's representations of the Earth System
Through a series of experiments, we provide evidence that the GraphDOP model - trained solely on meteorological observations, using no prior knowledge - develops internal representations of the Earth System state, structure and dynamics as well as the characteristics of different observing systems. Firstly, we demonstrate that the network constructs a unified latent representation of the Earth System state which is common across different observation types. For example, cloud structures maintai…

Quantum cosmological background superposition and perturbation predictions
Kratika Mazde, Lisa Mickel, Patrick Peter
https://arxiv.org/abs/2508.06231 https://

Quantum cosmological background superposition and perturbation predictions
Predictions from early universe cosmology typically concern primordial perturbations generated during epochs where effects arising from the quantum nature of gravity may be important; quantum vacuum fluctuations being stretched to cosmological scales during a phase of inflation. Quantizing the background is then done by assuming a single close-to-classical state over which perturbations grow, as well as a Born-Oppenheimer factorization throughout the relevant phase. We present a scenario in whi…

Single-shot parity readout of a minimal Kitaev chain
Nick van Loo, Francesco Zatelli, Gorm O. Steffensen, Bart Roovers, Guanzhong Wang, Thomas Van Caekenberghe, Alberto Bordin, David van Driel, Yining Zhang, Wietze D. Huisman, Ghada Badawy, Erik P. A. M. Bakkers, Grzegorz P. Mazur, Ram\'on Aguado, Leo P. Kouwenhoven
https://…

Single-shot parity readout of a minimal Kitaev chain
Protecting qubits from noise is essential for building reliable quantum computers. Topological qubits offer a route to this goal by encoding quantum information non-locally, using pairs of Majorana zero modes. These modes form a shared fermionic state whose occupation -- either even or odd -- defines the fermionic parity that encodes the qubit. Crucially, this parity cannot be accessed by any measurement that probes only one Majorana mode. This reflects the non-local nature of the encoding and …

Two-Dimensional Superconductivity at the CaZrO3/KTaO3 (001) Heterointerfaces
Lu Chen, Siyi Zhou, Daming Tian, Yinan Xiao, Qixuan Gao, Yongchao Wang, Yuansha Chen, Fengxia Hu, Baogen Shen, Jirong Sun, Weisheng Zhao, Jinsong Zhang, Hui Zhang
https://arxiv.org/abs/2507.01392

Two-Dimensional Superconductivity at the CaZrO3/KTaO3 (001) Heterointerfaces
We investigated the superconducting transport properties of two-dimensional electron gases (2DEGs) at (001)-oriented CaZrO3/KTaO3 (CZO/KTO) heterointerfaces. Our results unambiguously demonstrate the emergence of two-dimensional superconductivity, with a superconducting transition TC up to ~0.25 K. The two-dimensional nature of the superconducting state is corroborated by the Berezinskii-Kosterlitz-Thouless (BKT) transition and pronounced anisotropy of the upper critical field. The estimated su…

SplashNet: Split-and-Share Encoders for Accurate and Efficient Typing with Surface Electromyography
Nima Hadidi, Jason Chan, Ebrahim Feghhi, Jonathan Kao
https://arxiv.org/abs/2506.12356

SplashNet: Split-and-Share Encoders for Accurate and Efficient Typing with Surface Electromyography
Surface electromyography (sEMG) at the wrists could enable natural, keyboard-free text entry, yet the state-of-the-art emg2qwerty baseline still misrecognizes $51.8\%$ of characters in the zero-shot setting on unseen users and $7.0\%$ after user-specific fine-tuning. We trace many of these errors to mismatched cross-user signal statistics, fragile reliance on high-order feature dependencies, and the absence of architectural inductive biases aligned with the bilateral nature of typing. To addres…

Configurational-force-driven adaptive refinement and coarsening in topology optimization
Gabriel Stankiewicz, Chaitanya Dev, Paul Steinmann
https://arxiv.org/abs/2507.15570 http…

Configurational-force-driven adaptive refinement and coarsening in topology optimization
The iterative nature of topology optimization, especially in combination with nonlinear state problems, often requires the solution of thousands of linear equation systems. Furthermore, due to the pixelated design representation, the use of a fine mesh is essential to obtain geometrically well-defined structures and to accurately compute response quantities such as the von Mises stress. Therefore, the computational cost of solving a fine-mesh topology optimization problem quickly adds up. To ad…

Whatever success Trump had in his career was built on insight
-- not into the workings of capitalism but into the darker corners of human nature.
He succeeded through scams, lies, and bullying,
using the power he had over others to enrich himself at their expense.
So no one should be surprised that he brings the same spirit to policymaking.
In his second term, Trump is at last unleashed to fully realize his vision,
and on economics, that means a new kind…

Chairman Trump's Great Grift Forward
Move over, Mao.

Role of correlations in Ruddlesden-Popper bilayer nickelates under compressive strain
Logan Bleys, Nicholas Corkill, Yi-Feng Zhao, Gheorghe Lucian Pascut, Harrison LaBollita, Antia S. Botana, Khandker F. Quader
https://arxiv.org/abs/2509.00940

Role of correlations in Ruddlesden-Popper bilayer nickelates under compressive strain
The recent discovery of superconductivity in thin films of the bilayer Ruddlesden-Popper (RP) nickelate La$_3$Ni$_2$O$_7$ (La327) under compressive strain has generated enormous interest, opening up further opportunities to stabilize superconductivity in this class of materials at ambient pressure. To better understand the many-body normal state from which superconductivity arises, it is important to ascertain the nature and role of correlations in its electronic structure. To provide insights …

"Humans Are Wiping Out Water Bodies That Life Depends On, New Report Says"
#Water #Nature #Environment

Humans Are Wiping Out Water Bodies That Life Depends On, New Report Says - Inside Climate News
A landmark report for the global agreement on wetlands paints a dire picture of the state of the world’s water bodies that underpin all life on Earth.  The report, released Tuesday by the secretariat of the Convention on Wetlands, says that since 1970 more than one-fifth of wetlands have been lost, meaning they have shrunk […]

Selective filtering of multi-photon events from a single-photon emitter
Friedrich Sbresny, Carolin Calcagno, Sang Kyu Kim, Katarina Boos, William Rauhaus, Frederik Bopp, Hubert Riedl, Jonathan J. Finley, Eduardo Zubizarreta Casalengua, Kai M\"uller
https://arxiv.org/abs/2506.22378

Selective filtering of multi-photon events from a single-photon emitter
Single-photon purity is one of the most important key metrics of many quantum states of light. For applications in photonic quantum technologies, e.g. quantum communication and linear optical quantum computing, a minimization of the multi-photon error rate is required because of its error-introducing nature. Ultimately, the purity of state-of-the-art single-photon sources was found to be limited by spontaneous emission and subsequent reexcitation during the interaction with the driving field. H…

LeoTCP: Low-Latency and High-Throughput Data Transport for LEO Satellite Networks
Aiden Valentine, George Parisis
https://arxiv.org/abs/2508.19067 https://…

LeoTCP: Low-Latency and High-Throughput Data Transport for LEO Satellite Networks
Low-Earth Orbit (LEO) satellite networks consist of thousands of satellites orbiting the Earth, enabling low-latency and high-throughput communications across the globe. Such networks present unprecedented challenges due to their dynamic nature, which state-of-the-art data transport protocols do not address. These challenges include: (1) non-congestive latency variation and loss, caused by continuous satellite movement and fluctuating link quality due to weather effects; (2) transient hotspots …

Charged Higgs Signatures at Future Electron-Proton Colliders
Baradhwaj Coleppa, Gokul B. Krishna
https://arxiv.org/abs/2508.04656 https://arxiv.org/pdf/250…

Charged Higgs Signatures at Future Electron-Proton Colliders
In this work, we present a detailed collider phenomenology study of the charged Higgs boson within a Beyond the Standard Model (BSM) framework featuring an extended gauge and scalar sector. The charged Higgs can decay via conventional modes, such as $H^- \to \bar{t}b$ and $H^- \to W^-h$, as well as through exotic channels like $H^- \to W'Z$ (or $WZ'$). These decays lead to distinct final-state topologies determined by the nature of the intermediate particles. We perform a comprehensive phenomen…

Darksuite: an Algorithm for Dark Matter-Admixed Neutron Stars
Nguyen Thi Lan Anh, Peter Lott, Quynh Lan Nguyen
https://arxiv.org/abs/2507.22415 https://arx…

Darksuite: an Algorithm for Dark Matter-Admixed Neutron Stars
Gravitational-wave observations provide a unique window into the fundamental nature of massive objects. In particular, neutron star equations of state have been constrained due to the success of gravitational wave observatories. Recently, the possibility of detecting dark matter-admixed neutron stars via ground-based laser interferometry has been explored. Dark matter would impact the gravitational waveform of an inspiraling neutron star system through tidal parameters, namely the tidal deforma…

Quantum nature of gravitational waves from binary black holes
Sugumi Kanno, Jiro Soda, Akira Taniguchi
https://arxiv.org/abs/2508.17947 https://arxiv.org/p…

Quantum nature of gravitational waves from binary black holes
Quantum mechanics is the fundamental framework of nature, and gravitational waves from binary black holes should likewise be analyzed quantum mechanically. It is commonly assumed that their classical description corresponds to a coherent state, so any deviation would signal genuinely quantum nature of gravity. We show that the coherent-state description reproduces classical gravitational waves at leading order, while next-order effects generate squeezed states of gravitons. For GW150914, we est…

Maximally-Informative Retrieval for State Space Model Generation
Evan Becker, Benjamin Bowman, Matthew Trager, Tian Yu Liu, Luca Zancato, Wei Xia, Stefano Soatto
https://arxiv.org/abs/2506.12149

Maximally-Informative Retrieval for State Space Model Generation
Given a query and dataset, the optimal way of answering the query is to make use all the information available. Modern LLMs exhibit impressive ability to memorize training data, but data not deemed important during training is forgotten, and information outside that training set cannot be made use of. Processing an entire dataset at inference time is infeasible due to the bounded nature of model resources (e.g. context size in transformers or states in state space models), meaning we must resor…

Orthotropic Viscoelastic Creep in Cellular Scaffolds
Alessia Ferrara, Falk K. Wittel
https://arxiv.org/abs/2507.01071 https://arxiv.org/pdf/2507.01071

Convex Hartree-Fock theory: A simple framework for ground state conical intersections
Federico Rossi, Henrik Koch
https://arxiv.org/abs/2508.21453 https://…

Convex Hartree-Fock theory: A simple framework for ground state conical intersections
Accurate modeling of conical intersections is crucial in nonadiabatic molecular dynamics, as these features govern processes such as radiationless transitions and photochemical reactions. Conventional electronic structure methods, including Hartree-Fock, density functional theory, and their time-dependent extensions, struggle in this regime. Due to their single reference nature and separate treatment of ground and excited states, they fail to capture ground state intersections. Multiconfigurati…

Quantum Droplets of Light in Semiconductor Microcavities
Matteo Caldara, Olivier Bleu, Francesca Maria Marchetti, Jesper Levinsen, Meera M. Parish
https://arxiv.org/abs/2507.19324

Quantum Droplets of Light in Semiconductor Microcavities
Quantum droplets are dilute self-bound configurations of bosons that result from the balance between a mean-field attraction and a repulsion induced by quantum fluctuations. Such droplets have been successfully realized in cold atomic gases and represent a signature of their quantum nature. Here, we predict the existence of a similar droplet phase in a solid-state system, involving polaritons formed from the strong coupling between excitons (bound electron-hole pairs) and photons in a semicondu…

Decoding the role of $\rho$ mesonic states for elucidating the $e^ e^-\to a_2(1320)\pi$ data and other reactions
Qin-Song Zhou, Zi-Yue Bai, Hao Xu, Jun-Zhang Wang, Xiang Liu
https://arxiv.org/abs/2507.21554

Decoding the role of $ρ$ mesonic states for elucidating the $e^+e^-\to a_2(1320)π$ data and other reactions
Recently, the BESIII Collaboration observed a $ρ$-like structure $Y(2044)$ in $e^+e^-\to a_2(1320)π$, suggesting that $Y(2044)$ may be a candidate of vector meson $ρ(2D)$ by comparing resonance parameters. However, the theoretical prediction for the combined branching ratio $Γ_{e^+e^-}\mathcal{B}_{a_2(1320)π}$ for the pure $ρ(2D)$ state is about two orders of magnitude smaller than the experimental value. Resolving this discrepancy and deciphering the nature of $Y(2044)$ is a primary obje…

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Lincan Li, Bolin Shen, Chenxi Zhao, Yuxiang Sun, Kaixiang Zhao, Shirui Pan, Yushun Dong
https://arxiv.org/abs/2508.19641

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
Graph-structured data, which captures non-Euclidean relationships and interactions between entities, is growing in scale and complexity. As a result, training state-of-the-art graph machine learning (GML) models have become increasingly resource-intensive, turning these models and data into invaluable Intellectual Property (IP). To address the resource-intensive nature of model training, graph-based Machine-Learning-as-a-Service (GMLaaS) has emerged as an efficient solution by leveraging third-…

Entangling Power and Its Deviation: A Quantitative Analysis on Input-State Dependence and Variability in Entanglement Generation
Kyoungho Cho, Jeongho Bang
https://arxiv.org/abs/2508.00301

Entangling Power and Its Deviation: A Quantitative Analysis on Input-State Dependence and Variability in Entanglement Generation
Quantifying the entangling capability of quantum operations is a fundamental task in quantum information science. Traditionally, this capability is measured by the entangling power (EP), defined as the average entanglement generated when a quantum operation acts uniformly on all possible product states. However, EP alone cannot capture the intricate input-state-dependent nature of entanglement generation. To address this, we define a complementary metric -- entangling power deviation (EPD) -- a…

Markov Chain-based Model of Blockchain Radio Access Networks
Vasileios Kouvakis, Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Hongwu Liu, Theodoros A. Tsiftsis, Octavia A. Dobre
https://arxiv.org/abs/2508.14519

Markov Chain-based Model of Blockchain Radio Access Networks
Security has always been a priority, for researchers, service providers and network operators when it comes to radio access networks (RAN). One wireless access approach that has captured attention is blockchain enabled RAN (B-RAN) due to its secure nature. This research introduces a framework that integrates blockchain technology into RAN while also addressing the limitations of state-of-the-art models. The proposed framework utilizes queuing and Markov chain theory to model the aspects of B-RA…

On the nature and charge state of the X-Defect, a radiation-induced Silicon defect with field-enhanced charge carrier emission
Niels Sorgenfrei, Yana Gurimskaya, Anja Himmerlich, Michael Moll, Ulrich Parzefall, Ioana Pintilie, Joern Schwandt
https://arxiv.org/abs/2508.16197

On the nature and charge state of the X-Defect, a radiation-induced Silicon defect with field-enhanced charge carrier emission
The elusive X-Defect, a defect found in low-resistivity $p$-type Silicon after irradiation, observed as a low-temperature shoulder of the $\mathrm{B}_\mathrm{i}\mathrm{O}_\mathrm{i}$ defect (Boron-interstitial-Oxygen-interstitial complex) in Thermally Stimulated Current (TSC) measurements, was investigated to determine its properties, matching them with those of a previously identified defect. Through a combination of TSC, Deep-Level Transient Spectroscopy (DLTS), Difference-DLTS (DDLTS), numer…

An equivalence between time-symmetry and cyclic causality in quantum theory
Eliot Jean, Ralph Silva, V. Vilasini
https://arxiv.org/abs/2508.02463 https://a…

An equivalence between time-symmetry and cyclic causality in quantum theory
Understanding the relationship between the time-symmetric nature of physical laws and the apparent directionality of causality is a central question in quantum foundations. The standard operational formulation, widely used in quantum information, imposes a definite, acyclic causal order on agents' operations, contrasting with time-symmetric dynamics. Two prominent extensions of this framework are the multi-time state (MTS) formalism, which incorporates time symmetry via arbitrary pre- and post-…

Zeeman Ladders in Frustrated XYZ Spin Chains
Catalin-Mihai Halati, Viola Romerio, Paul Steffens, J. Ross Stewart, Andrey Zheludev, Thierry Giamarchi
https://arxiv.org/abs/2508.17834

Zeeman Ladders in Frustrated XYZ Spin Chains
We investigate the nature of the excitations captured by the dynamical response of XYZ triangular spin-1/2 ladders. We complement experimental inelastic neutron scattering results on the compound $\text{Cs}_\text{2}\text{CoBr}_\text{4}$ with numerically exact simulations based on time-dependent matrix product state methods. Our results show that bound states of spinon excitations can arise in XYZ beyond the requirement of strong Ising anisotropies. We analyze the role of the frustrated triangul…

Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks
Chen Shang, Jiadong Yu, Dinh Thai Hoang
https://arxiv.org/abs/2508.19566 https://…

Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks
This work proposes an energy-efficient, learning-based beamforming scheme for integrated sensing and communication (ISAC)-enabled V2X networks. Specifically, we first model the dynamic and uncertain nature of V2X environments as a Markov Decision Process. This formulation allows the roadside unit to generate beamforming decisions based solely on current sensing information, thereby eliminating the need for frequent pilot transmissions and extensive channel state information acquisition. We then…

Replaced article(s) found for cond-mat.supr-con. https://arxiv.org/list/cond-mat.supr-con/new
[1/1]:
- Unveiling the multiband metallic nature of the normal state in nickelate La3Ni2O7
Chen, Zhang, Li, Hu, Huo, Wang, Xi, Wang, Sun, Wang, Shen

Process-aware and high-fidelity microstructure generation using stable diffusion
Hoang Cuong Phan, Minh Tien Tran, Chihun Lee, Hoheok Kim, Sehyok Oh, Dong-Kyu Kim, Ho Won Lee
https://arxiv.org/abs/2507.00459

Process-aware and high-fidelity microstructure generation using stable diffusion
Synthesizing realistic microstructure images conditioned on processing parameters is crucial for understanding process-structure relationships in materials design. However, this task remains challenging due to limited training micrographs and the continuous nature of processing variables. To overcome these challenges, we present a novel process-aware generative modeling approach based on Stable Diffusion 3.5 Large (SD3.5-Large), a state-of-the-art text-to-image diffusion model adapted for micro…

Mixed valence Mott insulator and composite excitation in twisted bilayer graphene
Jing-Yu Zhao, Boran Zhou, Ya-Hui Zhang
https://arxiv.org/abs/2507.00139 h…

Mixed valence Mott insulator and composite excitation in twisted bilayer graphene
Interplay of strong correlation and flat topological band has been a central problem in moiré systems such as the magic angle twisted bilayer graphene (TBG). Recent studies show that Mott-like states may still be possible in TBG despite the Wannier obstruction. However, the nature of such unconventional states is still not well understood. In this work we construct the ground state wavefunction and exotic excitations of a symmetric correlated semimetal or insulator at even integer filling usin…

Finite-Dimensional Quantum Systems under the Fourth Law of Thermodynamics
Rohit Kishan Ray
https://arxiv.org/abs/2508.14389 https://arxiv.org/pdf/2508.1438…

Finite-Dimensional Quantum Systems under the Fourth Law of Thermodynamics
The Steepest Entropy Ascent (SEA) ansatz, recently recognized as the fourth law of thermodynamics, governs the irreversible evolution of a system from a non-equilibrium state toward a unique maximum-entropy equilibrium. SEA builds upon the second law to unify mechanics and thermodynamics. Due to its nonlinear nature, exact solutions to the SEA equation of motion are scarce. To address this, the Fixed Lagrange Multiplier (FLM) method is developed as an approximate analytical tool, applicable to …

Pressure-tunable phase transitions in atomically thin Chern insulator MnBi$_2$Te$_4$
Albin Marffy, Endre Tovari, Yu-Fei Liu, Anyuan Gao, Tianye Huang, Laszlo Oroszlany, Kenji Watanabe, Takashi Taniguchi, Su-Yang Xu, Peter Makk, Szabolcs Csonka
https://arxiv.org/abs/2507.17449

Pressure-tunable phase transitions in atomically thin Chern insulator MnBi$_2$Te$_4$
Topological insulators lacking time-reversal symmetry can exhibit the quantum anomalous Hall effect. Odd-layer thick MnBi$_2$Te$_4$ is a promising platform due to its intrinsic magnetic nature, however, quantization is rarely observed in it. Our magnetoresistance measurements in the anti-ferromagnetic phase indicate, instead of a quantum anomalous Hall insulator, the presence of a trivial insulator state likely due to disorder, while at high magnetic field a Chern insulator state appears. By ap…

Crystal field tuned spin-flip luminescence in NiPS3
L\'eonard Schue, Nashra Pistawala, Hebatalla Elnaggar, Yannick Klein, Christophe Bellin, Johan Biscaras, Fausto Sirotti, Yves Lassailly, Fabian Cadiz, Luminita Harnagea, Abhay Shukla
https://arxiv.org/abs/2506.13381

Crystal field tuned spin-flip luminescence in NiPS3
Layered magnetic materials potentially hold the key to future applications based on optical control and manipulation of magnetism. NiPS3, a prototype member of this family, is antiferromagnetic below 155 K and exhibits sharp photoluminescence associated to a transition between a triplet ground state and a singlet excited state. The nature of the luminescent transition is a matter of current debate and so is an eventual fundamental link of this excitation to magnetism. Here we provide answers th…

Versatile SPH Open Boundary Conditions for Multiphase Flows in Extreme Condition
Zi-Yang Zhan, Zhen Chen
https://arxiv.org/abs/2506.14500 https://

Versatile SPH Open Boundary Conditions for Multiphase Flows in Extreme Condition
Although the Smoothed Particle Hydrodynamics (SPH) method has been demonstrated as a promising numerical solver for multiphase flow problems due to its Lagrangian nature, its application to complex channel flow may encounter additional issues such as the open boundary condition and numerical instability in the extreme flow state. The present work aims to establish a general SPH algorithm for accurate and stable simulation of complex multiphase flows in configurations with open boundaries. The g…

Optimization by VarQITE on Adaptive Variational Quantum Kolmogorov-Arnold Network
Hikaru Wakaura, Rahmat Mulyawan, Andriyan B. Suksmono
https://arxiv.org/abs/2506.22801

Optimization by VarQITE on Adaptive Variational Quantum Kolmogorov-Arnold Network
Quantum imaginary time evolution (QITE) is a powerful method to derive the ground states of the systems. Only the damping of quantum states leads it; hence, reaching the ground state is guaranteed by nature without any external manipulation. Numerous QITE methods by many groups are used to improve speed and accuracy, derive excited states, and solve combined optimization problems. However, the QITE methods have not been used for quantum machine learning to predict the ideal values for multiple …

Weyl nodes in CeRu$_4$Sn$_6$ studied by dynamical mean-field theory
Jor\=unas Dobilas, Martin Brass, Frank T. Ebel, Silke Pasche, Karsten Held
https://arxiv.org/abs/2507.12944

Weyl nodes in CeRu$_4$Sn$_6$ studied by dynamical mean-field theory
The heavy fermion compound CeRu$_4$Sn$_6$ has recently shown to exhibit a spontaneous nonlinear Hall effect, indicating its topological nature. This is consistent with the lack of inversion symmetry that allows for the existence of Weyl nodes. Here, we employ density functional theory plus dynamical mean-field theory, which is state-of-the-art for such correlated materials, and study the topology of CeRu$_4$Sn$_6$. We find five inequivalent Weyl nodes of either type I or II, each having sixteen…

First-principles many-body study for electronic, optical, and excitonic properties of RbTlCl3 perovskite for solar cells
Siddharth, Vinod Kumar Solet, Sudhir K. Pandey
https://arxiv.org/abs/2508.16264 …

First-principles many-body study for electronic, optical, and excitonic properties of RbTlCl3 perovskite for solar cells
We present a detailed many-body ab initio study of the valence-skipper RbTlCl$_{3}$ perovskite compound for photovoltaic (PV) applications. The electronic and optical properties, both with and without spin-orbit coupling, have been calculated using density functional theory (DFT) and many-body excited-state calculations. The band gap, which is indirect in nature, is found to be 0.95 eV and 0.89 eV from PBE and PBEsol, respectively. The optical properties have been computed using four different …

BELT: Block Encoding of Linear Transformation on Density Matrices
Fuchuan Wei, Rundi Lu, Yuguo Shao, Junfeng Li, Jin-Peng Liu, Zhengwei Liu
https://arxiv.org/abs/2508.12858 http…

BELT: Block Encoding of Linear Transformation on Density Matrices
Linear maps that are not completely positive play a crucial role in the study of quantum information, yet their non-completely positive nature renders them challenging to realize physically. The core difficulty lies in the fact that when acting such a map $\mathcal{N}$ on a state $ρ$, $\mathcal{N}(ρ)$ may not correspond to a valid density matrix, making it difficult to prepare directly in a physical system. We introduce Block Encoding of Linear Transformation (BELT), a systematic protocol tha…

Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior
Chengyuan Zhang, Cathy Wu, Lijun Sun
https://arxiv.org/abs/2506.14762

Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior
Accurate and interpretable car-following models are essential for traffic simulation and autonomous vehicle development. However, classical models like the Intelligent Driver Model (IDM) are fundamentally limited by their parsimonious and single-regime structure. They fail to capture the multi-modal nature of human driving, where a single driving state (e.g., speed, relative speed, and gap) can elicit many different driver actions. This forces the model to average across distinct behaviors, red…