A QUBO formulation for the Tree Containment problem

February 22, 2022 Β· Declared Dead Β· πŸ› Theoretical Computer Science

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Authors Michael J. Dinneen, Pankaj S. Ghodla, Simone Linz arXiv ID 2202.11234 Category cs.DS: Data Structures & Algorithms Citations 3 Venue Theoretical Computer Science Last Checked 4 months ago
Abstract
Phylogenetic (evolutionary) trees and networks are leaf-labeled graphs that are widely used to represent the evolutionary relationships between entities such as species, languages, cancer cells, and viruses. To reconstruct and analyze phylogenetic networks, the problem of deciding whether or not a given rooted phylogenetic network embeds a given rooted phylogenetic tree is of recurring interest. This problem, formally know as Tree Containment, is NP-complete in general and polynomial-time solvable for certain classes of phylogenetic networks. In this paper, we connect ideas from quantum computing and phylogenetics to present an efficient Quadratic Unconstrained Binary Optimization formulation for Tree Containment in the general setting. For an instance (N,T) of Tree Containment, where N is a phylogenetic network with n_N vertices and T is a phylogenetic tree with n_T vertices, the number of logical qubits that are required for our formulation is O(n_N n_T).
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