Quantum Brain
← Back to papers

A Quantum Algorithm for the Sub-graph Isomorphism Problem

Nicola Mariella, Andrea Simonetto·November 18, 2021·DOI: 10.1145/3569095
PhysicsMathematicsComputer Science

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

We propose a novel variational method for solving the sub-graph isomorphism problem on a gate-based quantum computer. The method relies (1) on a new representation of the adjacency matrices of the underlying graphs, which requires a number of qubits that scales logarithmically with the number of vertices of the graphs; and (2) on a new ansatz that can efficiently probe the permutation space. Simulations are then presented to showcase the approach on graphs up to 16 vertices, whereas, given the logarithmic scaling, the approach could be applied to realistic sub-graph isomorphism problem instances in the medium term.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.