Near-Optimal Maximum Cut via High-Dimensional Spectral Embedding

Key Points

• The research aims to develop a deterministic solver for the MaxCut problem using high-dimensional spectral methods.
• Implemented a four-phase approach for solving the MaxCut problem.
• Conducted benchmarks specifically on Gset instances to evaluate performance.
• Utilized high-dimensional spectral embedding techniques for optimization.
• The four-phase MaxCut solver demonstrated near-optimal performance on Gset instances.
• Significant improvements noted in computational efficiency compared to traditional methods.