Search Results for author: Rebekah Herrman

Found 2 papers, 0 papers with code

Quantum Distance Approximation for Persistence Diagrams

no code implementations27 Feb 2024 Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas

Topological Data Analysis methods can be useful for classification and clustering tasks in many different fields as they can provide two dimensional persistence diagrams that summarize important information about the shape of potentially complex and high dimensional data sets.

Topological Data Analysis

Impact of Graph Structures for QAOA on MaxCut

no code implementations11 Feb 2021 Rebekah Herrman, Lorna Treffert, James Ostrowski, Phillip C. Lotshaw, Travis S. Humble, George Siopsis

The quantum approximate optimization algorithm (QAOA) is a promising method of solving combinatorial optimization problems using quantum computing.

Combinatorial Optimization Quantum Physics

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