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Tamara Kohler

dblp:363/4385 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Quantum computing and quantum information · 61% Computational complexity · 30% Computational geometry · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information › quantum complexity theory
QMA
0.812024
Gapped Clique Homology on Weighted Graphs is QMA1-Hard and Contained in QMA · FOCS 2024
Quantum computing and quantum information › quantum computing
quantum complexity classes
0.812024
Gapped Clique Homology on Weighted Graphs is QMA1-Hard and Contained in QMA · FOCS 2024
Computational geometry
topological data analysis
0.212024
Gapped Clique Homology on Weighted Graphs is QMA1-Hard and Contained in QMA · FOCS 2024

Methods — techniques the papers use, named apart from their topics

spectral sequences · 0.8simplicial surgery · 0.8combinatorial laplacian · 0.8
YearPublicationVenuePosition
2024 Gapped Clique Homology on Weighted Graphs is QMA1-Hard and Contained in QMA
abstract
We study the complexity of a classic problem in computational topology, the homology problem: given a description of some space$X$and an integer$k$, decide if$X$contains a k-dimensional hole. The setting and statement of the homology problem are completely classical, yet we find that the complexity is characterized by quantum complexity classes. Our result can be seen as an aspect of a connection between homology and supersymmetric quantum mechanics [1]. We consider clique complexes, motivated by the practical application of topological data analysis (TDA). The clique complex of a graph is the simplicial complex formed by declaring every$k+1$-clique in the graph to be a k-simplex. Our main result is that deciding whether the clique complex of a weighted graph has a hole or not, given a suitable promise on the gap, is QMA1-hard and contained in QMA. Our main innovation is a technique to lower bound the eigenvalues of the combinatorial Laplacian operator. For this, we invoke a tool from algebraic topology known as spectral sequences. In particular, we exploit a connection between spectral sequences and Hodge theory [2]. Spectral sequences will play a role analogous to perturbation theory for combinatorial Lapla-cians. In addition, we develop the simplicial surgery technique used in prior work [3]. Our result provides some suggestion that the quantum TDA algorithm [4] cannot be dequantized. More broadly, we hope that our results will open up new possibilities for quantum advantage in topological data analysis.
Robbie King, Tamara Kohler
FOCS2