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Clique Homology is QMA1-hard

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arxiv 2209.11793 v1 pith:RGRQZCPB submitted 2022-09-23 quant-ph math-phmath.MP

classification quant-phmath-phmath.MP
keywords problemcomplexesqma1-hardanalysiscliquecomplexitycomputationaldata
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We tackle 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 20 years ago. We show that this decision problem is QMA1-hard. Moreover, we show that a version of the problem satisfying a suitable promise and certain constraints is contained in QMA. This suggests that the seemingly classical problem may in fact be quantum mechanical. In fact, we are able to significantly strengthen this by showing that the problem remains QMA1-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 homological algebra. We discuss potential implications for the problem of quantum advantage in topological data analysis.

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  1. A quantum algorithm for Khovanov homology

    math.GT 2025-01 conditional novelty 8.0 of 10

    A conditional quantum algorithm for estimating the Betti numbers of Khovanov homology, together with DQC1, BQP, and #P hardness results for harder approximation regimes.

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