Features Graph Generation: Generates random geometric graphs or allows custom edge lists to define graphs. Graph Coloring: Implements a step-by-step graph coloring algorithm that prioritizes nodes ...

Project description: This project applies Grover’s quantum search algorithm to the graph coloring problem using the Four Color Theorem as a base. The goal is to count the number of valid colorings of ...

We propose a technique to solve the problem of graph multi coloring, which is a problem corresponding to channel allocation problem, with the quantum approximate optimization algorithm (QAOA). QAOA is ...

Graph-coloring is an NP-hard problem which has a myriad of applications. Register allocation, which is a crucial phase of a good optimizing compiler, relies on graph coloring. Hence, an efficient ...

The authors look forward to studying whether this method can be applied to combinatorial problems other than the graph coloring problem. Source: “Collective dynamics of phase-repulsive oscillators ...

Depth optimization of a quantum circuit consisting of commuting operations is shown to be reducible to the vertex coloring problem in graph theory. The reduction immediately leads to an algorithm for ...

Learn what an algorithm is with this KS1 primary computing guide from BBC Bitesize for years 1 and 2. We will define what an algorithm is and how they work.

Artificial immune systems (AIS) are algorithms that are based on the structure and mechanisms of the vertebrate immune system. Clonal selection is a process that allows lymphocytes to launch a quick ...