Summary of A Technical Note For the 91-clauses Sat Resolution with Indirect Qaoa Based Approach, by Gerard Fleury and Philippe Lacomme
A technical note for the 91-clauses SAT resolution with Indirect QAOA based approach
by Gerard Fleury, Philippe Lacomme
First submitted to arxiv on: 29 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Quantum Physics (quant-ph)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents a novel approach to solving the 3-SAT problem using a Quantum Approximate Optimization Algorithm (QAOA)-like method. The proposed principle models solution ranks directly, resulting in a compact circuit with few gates that can efficiently handle large-sized 3-SAT problems. Numerical experiments demonstrate the effectiveness of this approach, successfully solving instances composed of 91 clauses and 20 variables using Qiskit. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us solve tricky math problems using special quantum computers. They came up with a new way to find answers by modeling solution ranks directly. This makes it possible to tackle really big problems with just a few simple steps. The team tested this approach on large problems and was able to solve them using Qiskit, a popular tool for working with quantum computers. |
Keywords
» Artificial intelligence » Optimization