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FrozenLGP introduces a novel graph partitioning technique specifically designed for quantum computing by actively "freezing" obstructing vertices rather than discarding them. This approach achieves 100% decomposition coverage on graphs up to 10,000 vertices while preserving solution accuracy through the incorporation of energetic contributions into the Ising Hamiltonian. The method significantly expands the range of solvable problems for near-term quantum hardware compared to conventional divide-and-conquer strategies that fail at similar scales.
FrozenLGP Achieves 100% Graph Decomposition Up To 10,000 Vertices
Frozen Large Graph Partitioning (FrozenLGP) achieves 100% decomposition coverage up to 10,000 vertices, unlike standard methods.
Researchers at Pukyong National University have developed Frozen Large Graph Partitioning, or FrozenLGP, a new method for dividing complex problems for quantum computing that achieves 100% decomposition coverage for graphs up to 10,000 vertices, a scale where standard techniques routinely fail. Unlike existing approaches that require naturally separable graphs, FrozenLGP actively enforces partitionability by identifying and “freezing” obstructing vertices using a minimum-vertex-cut computation based on max-flow. This process eliminates problematic connections and incorporates their energetic contributions into…
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