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Clique Homology is $${{\mathsf{QMA}}}_{1}$$ QMA 1 -hard

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  • Marcos Crichigno

    (Imperial College London)

  • Tamara Kohler

    (Instituto de Ciencias Matemáticas
    Stanford University)

Abstract

We address the long-standing question of the computational complexity of determining homology groups of simplicial complexes, a fundamental task in computational topology, posed by Kaibel and Pfetsch over twenty years ago. We show that decision problem is $${{\mathsf{QMA}}}_{1}$$ QMA 1 -hard and the exact counting version is $$\#{\mathsf{BQP}}$$ # BQP -hard. In fact, we strengthen this by showing that the problems remains hard in the case of clique complexes, a family of simplicial complexes specified by a graph which is relevant to the problem of topological data analysis. The proof combines a number of techniques from Hamiltonian complexity and algebraic topology. As we discuss, a version of the problems satisfying a suitable promise and certain constraints is contained in $${\mathsf{QMA}}$$ QMA and $$\#{\mathsf{BQP}}$$ # BQP , respectively. This suggests that the seemingly classical problem may in fact be quantum mechanical. We discuss potential implications for the problem of quantum advantage in topological data analysis.

Suggested Citation

  • Marcos Crichigno & Tamara Kohler, 2024. "Clique Homology is $${{\mathsf{QMA}}}_{1}$$ QMA 1 -hard," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54118-z
    DOI: 10.1038/s41467-024-54118-z
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    References listed on IDEAS

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    1. Seth Lloyd & Silvano Garnerone & Paolo Zanardi, 2016. "Quantum algorithms for topological and geometric analysis of data," Nature Communications, Nature, vol. 7(1), pages 1-7, April.
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