Turning the Imaginary: Unlocking Confinement in Yang-Mills Theory
A new study reveals how a mathematical trick-imaginary rotation-can induce confinement and chromomagnetic condensation within the well-known framework of SU(2) Yang-Mills theory.
Science
Unmasking Hidden Non-Hermiticity in Materials
A new approach reveals how to detect subtle non-Hermitian behavior in Dirac materials by observing the system’s response to minimal changes.
Black Hole Echoes: Decoding the Horizon’s Response
New calculations reveal how black holes absorb energy and angular momentum during collisions by analyzing the subtle waveforms generated at their event horizons.
Seeing Beyond the Noise: A New Approach to Image Reconstruction
Researchers are leveraging Bayesian inference and scattering transforms to build more robust imaging systems, especially when data is scarce.
Beyond Earth: The Hunt for Low-Frequency Gravitational Waves
A new era of gravitational wave astronomy is dawning, focusing on the elusive signals at deci-Hz frequencies and the innovative technologies needed to detect them.
The Physics of Thought: Unlocking AI’s Inner Workings
![A novel transformer architecture, leveraging a momentum-based approach to attention, overcomes the traditional [latex] N \geq 2 [/latex] barrier in single-layer induction-achieving 83.4% peak accuracy-and exhibits an attenuated scaling law ([latex] \gamma^* = 4.17 \times N^{-0.74} [/latex]) demonstrating that depth and momentum function as interchangeable computational resources, and confirming the theoretical prediction of signal attenuation across layers.](https://arxiv.org/html/2602.04902v1/figures/Fig-5.png)
A new approach, Momentum Attention, leverages principles of Hamiltonian mechanics to illuminate how neural networks learn and make decisions.
Time Series Forecasting’s false Foundation
The push to apply large, pre-trained models to time series data is built on a critical misunderstanding of how these datasets differ from natural language or images.
Neutrino Secrets: Pushing the Limits of Precision
![The quantum Fisher information (QFI) - depicted with blue curves as a function of [latex]L/E[/latex] - exhibits a strong correlation with the oscillation probability [latex]P(\nu_{\mu}\to\nu_{e})[/latex] shown in red, as demonstrated by data from the NuFit-6.0 IC24 dataset inclusive of Super-Kamiokande atmospheric data, and further corroborated by the IC19 dataset excluding such data.](https://arxiv.org/html/2602.05221v1/x1.png)
A new analysis demonstrates how quantum information tools can unlock the full potential of upcoming long-baseline neutrino experiments.
hBN’s Hidden Potential: Quantum Light from Color Centers
![Embedded within a hexagonal boron nitride slab, two color centers facilitate the resonant excitation of a polariton source, launching a propagating polariton at frequency [latex]\omega_{HPP}[/latex]; detection of emission from a downstream color center-triggered only when supplied with the missing energy from the arriving polariton-and subsequent time-correlation with the source’s initial emission demonstrates the single-polariton nature of the launched wave and confirms antibunching behavior.](https://arxiv.org/html/2602.05736v1/x6.png)
Researchers are exploring how to harness the unique properties of hexagonal boron nitride to create a new platform for strong light-matter interactions and advanced quantum photonic devices.
Tuning Spin Defects with Light: A New Control Mechanism for hBN Quantum Sensors
New research reveals that controlling the excitation wavelength significantly alters the behavior of spin defects in hexagonal boron nitride, opening doors for improved quantum sensing performance.