ABSTRACT
We discuss a small study on how to compare the performance of various solving techniques for quadratic unconstrained binary optimization (QUBO). Since well-known metrics are seldomly applicable, we suggest comparing the relative performance, i.e., how much the quality of solution (compared to other solutions of the same solver) for a QUBO shifts between different solving techniques. We propose looking for big shifts systematically for an empirical complexity analysis.
Code is available at github.com/thomasgabor/gecco-relative.
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Index Terms
- A Relative Approach to Comparative Performance Analysis for Quantum Optimization
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