In this paper we study the inference of the kinetic Ising model on sparse graphs by the decimation method. The decimation method, which was first proposed in Decelle and Ricci-Tersenghi [Phys. Rev.

Abstract: Computing with memory is an energy-efficient computing approach. It pre-computes a function and stores its values in a lookup table (LUT), which can be ...

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on complex problems such as protein folding (for drug discovery) and number ...

Abstract: Oscillator-based Ising machines (OIMs) are specialized in solving combinatorial optimization problems, that can be represented as the Ising model. They exploit the interaction of (integrated ...

While it's no replacement for either computer, the new device is a powerful alternative for addressing some very practical challenges. Reading time 3 minutes In a world of ever-improving computing ...

For decades, the solution to harder problems has been ‘build a bigger computer’— but what if this is the wrong strategy altogether? This is because some problems defeat computers, not because they are ...

Discover how to create a working model motorcycle using only cardboard and basic materials in this step-by-step tutorial. Learn the entire process, from crafting cardboard wheels and constructing the ...

The TPC-H model dataset is a widely recognized benchmarking standard designed to evaluate the performance of data warehousing and business intelligence systems. TPC-H is a decision support benchmark.

Attempts to understand quantum phase transitions in open systems usually rely on real‑time Lindbladian evolution, which tracks how a quantum state changes as it relaxes toward a steady state. This ...

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...

A comprehensive repository for fine-tuning the Donut model for document image classification and parsing tasks. This project provides optimized training pipelines using Hugging Face Transformers with ...