Quantum unitary synthesis addresses the problem of translating abstract quantum algorithms into sequences of hardware-executable quantum gates. Solving this task exactly is infeasible in general due to the exponential growth of the underlying combinatorial search space. Existing approaches suffer from misaligned optimization objectives, substantial training costs and limited generalization across different qubit counts. We mitigate these limitations by using supervised learning to approximate the minimum description length of residual unitaries and combining this estimate with stochastic beam search […]

Ver mais

Based on recent practices in production environments using SeaTunnel CDC (Change Data Capture) to synchronize scenarios such as Oracle, MySQL, and SQL Server, and combined with feedback from a wide range of users, I have written this article to help you understand the process by which SeaTunnel implements CDC. The content mainly covers the three stages of CDC: Snapshot, Backfill, and Incremental. The Three Stages of CDC The overall CDC data reading process can be broken down into […]

Ver mais

arXiv:2603.28774v1 Announce Type: new Abstract: This demo introduces Focus360, a system designed to enhance user engagement in 360{deg} VR videos by guiding attention to key elements within the scene. Using natural language descriptions, the system identifies important elements and applies a combination of visual effects to guide attention seamlessly. At the demonstration venue, participants can experience a 360{deg} Safari Tour, showcasing the system’s ability to improve user focus while maintaining an immersive experience.

Ver mais

Over the years, we’ve come across hundreds of article submissions that promise deep technical insight right in their headlines. Common titles include: “How I built…,” “Learn how to…” and so forth. And honestly? We love content like this. When done right, it delivers lasting value and evolves into evergreen content that serves curious internet users year in, year out. Many such stories perform really well on HackerNoon. Stories like: Inside My $1,000 Homelab: How I Rebuilt Big Tech […]

Ver mais

arXiv:2603.25892v1 Announce Type: new Abstract: We present THFM, a unified video foundation model for human-centric perception that jointly addresses dense tasks (depth, normals, segmentation, dense pose) and sparse tasks (2d/3d keypoint estimation) within a single architecture. THFM is derived from a pretrained text-to-video diffusion model, repurposed as a single-forward-pass perception model and augmented with learnable tokens for sparse predictions. Modulated by the text prompt, our single unified model is capable of performing various perception tasks. Crucially, our model […]

Ver mais

arXiv:2602.22847v1 Announce Type: cross Abstract: The concept of ranking aggregation plays a central role in preference analysis, and numerous algorithms for calculating median rankings, often originating in social choice theory, have been documented in the literature, offering theoretical guarantees in a centralized setting, i.e., when all the ranking data to be aggregated can be brought together in a single computing unit. For many technologies (e.g. peer-to-peer networks, IoT, multi-agent systems), extending the ability to calculate consensus rankings with […]

Ver mais

arXiv:2602.06247v1 Announce Type: new Abstract: This paper characterizes the fundamental limits of integrated sensing and communication (ISAC) when the transmitter is subject to an artificial intelligence (AI) representation bottleneck and the receiver employs a fluid antenna system (FAS). Specifically, the message is first encoded into an ideal Gaussian waveform and mapped by an AI encoder into a finite-capacity latent representation that constitutes the physical channel input, while the FAS receiver selects the port experiencing the most favorable channel […]

Ver mais

arXiv:2604.02150v1 Announce Type: cross Abstract: Samplets are data adapted multiresolution analyses of localized discrete signed measures. They can be constructed on scattered data sites in arbitrary dimension and such that they exhibit vanishing moments with respect to any prescribed set of primitives. We consider the samplet construction in a probabilistic framework and show that, when choosing polynomials as primitives, the resulting samplet basis converges in the infinite data limit to signed measures with broken polynomial densities. These densities […]

Ver mais

I’ve been diving into the deep end of Reinforcement Learning and Generative Models lately, specifically trying to see if I could train a simple diffusion model from scratch using nothing but a reward signal. On paper, it sounded like a fun weekend experiment, but in reality, it was a 72-hour masterclass in frustration. By Sunday night, I was staring at a screen of pure static; every time I adjusted the hyperparameters, the model would either collapse into a […]

Ver mais

arXiv:2603.23666v1 Announce Type: new Abstract: Origami-inspired robots offer rapid, accessible design and manufacture with diverse functionalities. In particular, origami robots without conventional electronics have the unique advantage of functioning in extreme environments such as ones with high radiation or large magnetic fields. However, the absence of sophisticated control systems limits these robots to simple autonomous behaviors. In our previous studies, we developed a printable, electronics-free, and self-sustained oscillator that generates simple complementary square-wave signals. Our study presents a […]

Ver mais