Hunting for Hidden Errors in GPU Code
A new approach to fuzzing CUDA programs aims to bolster the security of heterogeneous systems by proactively identifying memory safety bugs.
Science
Precision Electroweak Physics for Future Colliders
![The comparison of Monte Carlo (MC@NLO) predictions with next-to-leading order (NLO) fixed-order calculations and leading-order approximations-both with and without parton shower effects-demonstrates the process [latex]e^{+}e^{-}\to Z \to e^{+}e^{-} [/latex] at a center-of-mass energy of 365 GeV, highlighting the importance of higher-order corrections and parton shower modeling for accurate theoretical predictions.](https://arxiv.org/html/2603.05585v1/x45.png)
New calculations refine the modeling of particle interactions at high energies, crucial for maximizing the discovery potential of next-generation lepton colliders.
Beyond Passwords: Biometrics and Hardware Security for Robust Key Protection
A new approach combines template-less biometrics with physically unclonable functions to generate stable, error-free keys for enhanced multi-factor authentication.
Fragile Topology: How Interactions Threaten the Toric Code
![The study demonstrates that increasing antiferromagnetic Heisenberg coupling [latex]J[/latex] within a toric code system causes the Kitaev-Preskill topological entanglement indicator [latex]\gamma_{KP}[/latex] to rise from its ideal value of [latex] -\ln 2[/latex], ultimately signaling a loss of topological order due to cat state mixing and finite size effects which introduce a Shannon-like contribution to the Rényi entropies-a phenomenon quantified by the formula [latex]\gamma_{KP} \equiv S(A)+S(B)+S(C)-S(AB)-S(BC)-S(CA)+S(ABC)[/latex].](https://arxiv.org/html/2603.05707v1/tee_all.png)
New research explores the resilience of topological order in the toric code when subjected to realistic magnetic interactions.
Unlocking Molecular Structure with Quantum-Enhanced NMR
A new computational method combines machine learning with quantum mechanics to dramatically improve the accuracy of NMR crystallography, particularly for complex and disordered materials.
Taming Photons: A New Approach to Parton Shower Accuracy
![The study details quantum electrodynamic corrections to joint parton luminosity functions-[latex]xL^{\rm QED}_{q\bar{q}}[/latex]-for each quark flavor, demonstrating alterations relative to the initial NNPDF calculations up to a mass scale of 1000 GeV, and highlighting the impact of these corrections on high-energy particle interactions.](https://arxiv.org/html/2603.06470v1/x6.png)
Researchers detail a novel method for handling initial-state radiation in high-energy physics simulations, significantly improving the precision of Monte Carlo predictions.
Hidden in Plain Sight: A Steganographic System That Withstands Real-World Errors
Researchers have developed a novel steganographic scheme, Alkaid, that offers provable security while remaining robust to the kinds of editing and transmission errors common in digital communication.
Precise Function Approximation with Lattice Algorithms
New research demonstrates how median lattice algorithms achieve near-optimal convergence rates for approximating periodic functions in high dimensions.
Hiding in Plain Sound: A Watermark That Survives AI Audio Editing
![A system subtly shifts audio’s latent representation via an optimized perturbation δ before quantization, inducing a constrained movement-defined by the vector [latex]v = \mu\_B - \mu\_A[/latex] between cluster centroids-designed to survive the destructive cycles of neural codec pipelines and be reliably detected by a verification process [latex]\mathcal{E}[/latex].](https://arxiv.org/html/2603.05310v1/2603.05310v1/x3.png)
Researchers have developed a new audio watermarking technique that embeds information within the core structure of compressed audio, making it remarkably resilient to manipulation by advanced neural audio codecs.
Beyond the Hype: Sharpening AI Insights with Reliable Data
A new approach leverages multiple AI agents and advanced optimization techniques to carefully select the most trustworthy data for accurate sentiment analysis.