This review explores how specialized mathematical functions can be leveraged to build efficient linear codes with applications spanning traditional error correction and the emerging field of quantum computing.
A new approach leverages quantum reinforcement learning to optimize reconfigurable intelligent surfaces for dramatically enhanced security and performance in multi-user wireless networks.
![The study demonstrates that visual question answering (VQA) accuracy and coverage undergo a fundamental shift-evidenced by a transition from full in-distribution data [latex]100;0[/latex] to entirely out-of-distribution data [latex]0;100[/latex]-as models move toward conversational questions and lower-quality images, a phenomenon observed across both Idefics3-8B and Qwen2-VL-7B architectures.](https://arxiv.org/html/2602.13289v1/x1.png)
New research reveals that shrinking the size of advanced vision-language AI models impacts their ability to provide reliable answers, but a simple solution can restore much of that lost trust.
![The study demonstrates that the proposed SCNS-BP decoding algorithm outperforms the HGP codeC[latex]C_2[/latex][latex]C_2[/latex] with flooding BP, specifically addressing the [latex] [[1922, 50, 16]] [/latex] parameter set.](https://arxiv.org/html/2602.13420v1/x1.png)
New scheduling algorithms for decoding quantum LDPC codes promise faster, more efficient error correction.
![The system exhibits a quantum phase transition at zero temperature, demarcating a critical boundary between superconducting and insulating phases within the [latex] (T,k) [/latex] plane, suggesting an inherent fragility in its conductive state.](https://arxiv.org/html/2602.14446v1/x4.png)
New research leverages holographic duality to explore the subtle interplay between quantum criticality and entanglement in materials undergoing a transition between superconducting and insulating states.
A novel construction method leveraging difference triangle set reflections simplifies the design of quantum convolutional codes with guaranteed performance characteristics.
As billions of devices connect to the Internet of Things, ensuring their security with resource-efficient algorithms is paramount.
Integrating post-quantum cryptography presents a significant usability challenge for developers lacking specialized security knowledge.
![String hadronization is modeled through complementary frameworks-one depicting string breaks within a light-cone coordinate system where the probability is governed by worldsheet area, and another representing hadronization as a discrete Markov chain evolving remaining string mass [latex]M_n \to M_{n+1}[/latex] until termination occurs either within the band [latex]\mathcal{S}=[M\_{\star},M\_{\rm cut}][latex] or by undershooting into [latex]\mathcal{F}=(0,M\_{\star})[/latex].](https://arxiv.org/html/2602.12599v1/x2.png)
A new framework recasts the complex process of hadronization as a conditioned stochastic diffusion, offering a consistent path toward both theoretical understanding and improved simulations.
Researchers have developed a novel coding scheme to improve the reliability and capacity of DNA-based data storage systems, tackling the challenges of noisy sequencing.