Bounds on approximating Max $k$XOR with quantum and classical local algorithms
Kunal Marwaha, Stuart Hadfield

TL;DR
This paper analyzes the effectiveness of quantum and classical local algorithms in approximating Max $k$XOR problems, revealing quantum advantages for certain parameters and identifying fundamental limitations for low-depth quantum circuits.
Contribution
It provides new bounds on the performance of local algorithms, compares quantum and classical methods, and uncovers obstructions for low-depth quantum circuits in solving Max $k$XOR.
Findings
Quantum algorithm outperforms classical threshold algorithms for $k > 4$.
Derived tight upper bounds on the maximum satisfying fraction for large random instances.
Identified obstructions for low-depth quantum circuits when $k=3$, suggesting limitations for quantum advantage.
Abstract
We consider the power of local algorithms for approximately solving Max XOR, a generalization of two constraint satisfaction problems previously studied with classical and quantum algorithms (MaxCut and Max E3LIN2). In Max XOR each constraint is the XOR of exactly variables and a parity bit. On instances with either random signs (parities) or no overlapping clauses and clauses per variable, we calculate the expected satisfying fraction of the depth-1 QAOA from Farhi et al [arXiv:1411.4028] and compare with a generalization of the local threshold algorithm from Hirvonen et al [arXiv:1402.2543]. Notably, the quantum algorithm outperforms the threshold algorithm for . On the other hand, we highlight potential difficulties for the QAOA to achieve computational quantum advantage on this problem. We first compute a tight upper bound on the maximum satisfying fraction…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
