Quick Navigation
Topics
Quantum Optimization
MAXCUT QAOA performance guarantees for p >1
arXiv
Authors: Jonathan Wurtz, Peter J. Love
Year
2020
Paper ID
19751
Status
Preprint
Abstract Read
~2 min
Abstract Words
133
Citations
N/A
Abstract
We obtain worst case performance guarantees for p=2 and 3 QAOA for MAXCUT on uniform 3-regular graphs. Previous work by Farhi et al obtained a lower bound on the approximation ratio of 0.692 for p=1. We find a lower bound of 0.7559 for p=2, where worst case graphs are those with no cycles leq 5. This bound holds for any 3 regular graph evaluated at particular fixed parameters. We conjecture a hierarchy for all p, where worst case graphs have with no cycles leq 2p+1. Under this conjecture, the approximation ratio is at least 0.7924 for all 3 regular graphs and p=3. In addition, using a simple indistinguishability argument we find an upper bound on the worst case approximation ratio for all p, which indicates classes of graphs for which there can be no quantum advantage for at least p<6.
Why This Paper Matters
- This paper contributes to the Quantum Optimization research area in the Quantum Articles archive.
- It adds a 2020 reference point for readers tracking recent quantum research.
- We obtain worst case performance guarantees for p=2 and 3 QAOA for MAXCUT on uniform 3-regular graphs.
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.