Forecasting the Future: A Platform for Rigorous Time Series Evaluation

A new platform, TS-Arena, addresses the critical challenges of data leakage and reliable evaluation in the rapidly evolving field of time series forecasting.

A new platform, TS-Arena, addresses the critical challenges of data leakage and reliable evaluation in the rapidly evolving field of time series forecasting.

Researchers are shifting focus from identifying telltale artifacts to modeling the inherent characteristics of real images for more reliable detection of AI-generated content.
![The steady-state synchronization of a van der Pol oscillator, quantified by [latex]\delta[/latex], exhibits a complex relationship with damping and driving strength; strong phase-locking and collective dynamics ([latex]\delta >> 1[/latex]) emerge within specific parameter regimes, while weak or absent phase-locking ([latex]\delta > 1[/latex]) dominates outside these “tongues,” a behavior mirrored across classical and quantum systems-where increased driving force qualitatively enhances nonclassicality up to the quantum limit ([latex]\kappa_{2} = 1[/latex])-and ultimately converges towards synchronization patterns reminiscent of the classical case even in the deep quantum regime ([latex]\kappa_{2} >> 1[/latex]).](https://arxiv.org/html/2512.21272v1/Fig1c.jpg)
New research unveils a method for characterizing quantum synchronization in a fundamental nonlinear system, the Van der Pol oscillator, using advanced quantum measurement techniques.

A new deep learning framework offers robust anomaly detection in multi-sequence MRI data, even when critical scan types are missing.
A new study explores whether using AI to mimic human behavior can provide a reliable alternative to costly and complex field experiments for evaluating machine learning methods.

New research reveals how transformer architectures learn to represent and predict the behavior of complex, evolving systems.
![The numerical solution demonstrates a global error level at [latex]T=1.0[/latex] with a discretization of [latex]N=500[/latex].](https://arxiv.org/html/2512.20840v1/x8.png)
Researchers demonstrate a robust method for simulating wave-like phenomena in unbounded spaces, overcoming limitations of traditional harmonic potential-based approaches.
![This device fabricates a two-qubit superconducting circuit from graphene, integrating it with a three-dimensional copper cavity to enable quantum interactions-specifically, a SQUID-based qubit and a single-Josephson junction qubit are capacitively coupled to a microwave resonator via [latex]C_{g1}[/latex], [latex]C_{g2}[/latex], and [latex]C_{g12}[/latex], demonstrating a pathway toward scalable quantum computation leveraging the unique properties of this two-dimensional material.](https://arxiv.org/html/2512.21213v1/Fig1.jpg)
Researchers are leveraging three-dimensional cavity designs to integrate graphene-based superconducting circuits, opening new pathways for scalable quantum computing.
![The architecture leverages a lattice of interconnected pentapods-distinguished by left (0) and right (1) configurations and coupled via hopping terms [latex]J_{x_L}[/latex] and [latex]J_{x_R}[/latex]-to encode quantum states [latex]|b(s_1, s_2, p)\rangle[/latex] with control qubits [latex]s_1, s_2 = \pm[/latex] and a target qubit [latex]p = 0, 1[/latex], achieving eight zero-energy degenerate eigenstates at initial parameters [latex]J_{\ell p} = 0[/latex] and demonstrating the successful implementation of both Toffoli and OR quantum gates through state tomography and precise modulation of the driving cycle.](https://arxiv.org/html/2512.21101v1/x4.png)
Researchers demonstrate a novel approach to building quantum computers by harnessing the geometric properties of light within photonic circuits.

Researchers are shifting focus from aligning image and text to actively identifying discrepancies, leading to a more robust defense against deceptive content.