Scaling Concurrent Stacks with Sharding and Smart Combining
A new approach to concurrent stack design leverages sharding to unlock improved performance and scalability for multi-threaded applications.
Science
Shielding Bangla Text Generation from AI Mimicry
Researchers have developed a new watermarking technique to protect text generated by large language models in Bangla, addressing vulnerabilities to sophisticated cross-lingual attacks.
Beyond Ergodicity: Scar States Emerge in Multi-Spin Hubbard Models
New research demonstrates the construction of stable, non-ergodic quantum states within the SU(N) Hubbard model, revealing a pathway to understanding complex many-body physics.
Erasing Quantum Memories: A New Approach to Machine Unlearning
Researchers have developed a method for selectively removing data from quantum machine learning models without compromising overall performance.
Beyond Standard Solutions: Exploring Schrödinger’s Equation with Time Delays
New research delves into the existence and properties of complex solutions to the Schrödinger equation when faced with time-delayed potentials, expanding the possibilities for modeling quantum systems.
Unveiling Hidden States at the Edge of Quantum Chaos
![Impurity challenges within thermal baths can be effectively modeled using a Wilson chain approach with a length cutoff [latex]\Lambda_{imp}[/latex] for non-interacting systems, but strongly-correlated baths necessitate representation via local tensors defined across impurity and bulk regions-also demarcated by [latex]\Lambda_{imp}[/latex]-allowing the impurity itself to function as a quantum probe for diagnosing quantum critical regions and associated crossovers during quantum phase transitions.](https://arxiv.org/html/2601.04729v1/main_text/Fig1.png)
A new theoretical approach accurately models the behavior of quantum impurities in complex materials, revealing exotic states and paving the way to understand quantum phase transitions.
Smart Contracts Get Smarter: Building Trustworthy Autonomous Agents on the Blockchain
This review examines the emerging field of agentic AI operating on blockchain networks, focusing on the standards and execution models needed to ensure safe and compliant transactions.
Beyond Benchmarks: Quantifying PUF Security Against Machine Learning
![The proposed unified framework analyzes the unpredictability of [latex] \mathbf{Exp}\_{\mathbf{\mathcal{PUF},\mathcal{A}}}^{Unpredict}(\mathrm{N}) [/latex], offering a means to quantify inherent system decay through the evaluation of physical unpredictable functions.](https://arxiv.org/html/2601.04697v1/x3.png)
A new probabilistic framework offers a rigorous, architecture-independent method for evaluating the resilience of Physical Unclonable Functions to increasingly sophisticated machine learning attacks.
Beyond Passwords: Securing Identities with Quantum Biometrics
A new approach combines the strengths of post-quantum cryptography and quantum key distribution to fortify biometric authentication in decentralized networks.
Balancing Urgency and Privacy in Disaster Data Sharing
A new framework uses knowledge graphs and deontic logic to enable responsible data release during crises, ensuring compliance with privacy regulations while maximizing aid effectiveness.