Abstract: This research explores optimizing recruitment and shortlisting processes using advanced graph algorithms. The study aims to construct and refine a dynamic knowledge graph that integrates ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Graph cover problems form a critical area within discrete optimisation and theoretical computer science, addressing the challenge of selecting subsets of vertices (or edges) that satisfy predetermined ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...

Objective: This study aims to consider small graphs of concepts and exploit them for expressing graph searches over existing COVID-19–related literature, leveraging the increasing use of graphs to ...

Arrays, Strings, Sorting Algorithms, Searching, Linked Lists, Stacks, Queues, Trees, Binary Trees, Heaps, Hashing, Dynamic Programming, Graphs, Bit Manipulation ...