Towards a Hybrid Quantum Enhanced Solution for Densest k-Subgraph Problem
Quantum
Summary
arXiv:2606.03196v1 Announce Type: new Abstract: We study the application of Gaussian Boson Sampling (GBS) to the densest k-subgraph problem (DkSP). GBS with hard post-selection suffers from poor sampling efficiency due to strict cardinality constraints. To address this limitation, we introduce effective classical post-processing strategies that transform, otherwise discarded, near-k samples into feasible solutions.
Why It Matters
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Key Facts
- SectorQuantum
- Market—
- ImpactLow (42/100)
- SignalResearch