activity
20182026
most citedEmpirical performance bounds for quantum approximate optimization

60 citations · 178 across the 36 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

math.CO2024

Leaky forcing and resilience of Cartesian products of

Rebekah Herrman, Grace Wisdom

Zero forcing is a process on a graph in which a set of initially colored vertices,, can color their neighbors according to the color change rule. T…

quant-ph2024★ 2 cited

Efficient Sparse State Preparation via Quantum Walks

Alvin Gonzales, Rebekah Herrman, Colin Campbell +4

Continuous-time quantum walks (CTQWs) on dynamic graphs, referred to as dynamic CTQWs, are a recently introduced universal model of computation that offers a new paradigm in which…

quant-ph2024

An angle rounding parameter initialization technique for ma-QAOA

Anthony Wilkie, James Ostrowski, Rebekah Herrman

The multi-angle quantum approximate optimization algorithm (ma-QAOA) is a recently introduced algorithm that gives at least the same approximation ratio as the quantum approximate…

math.CO2024

Bootstrap percolation and -hull number in direct products of graphs

Boštjan Brešar, Jaka Hedžet, Rebekah Herrman

The -neighbor bootstrap percolation is a graph infection process based on the update rule by which a vertex with infected neighbors becomes infected. We say that an initial…

quant-ph2024★ 6 cited

Quantum approximate optimization algorithm with random and subgraph phase operators

Anthony Wilkie, Igor Gaidai, James Ostrowski +1

The quantum approximate optimization algorithm (QAOA) is a promising quantum algorithm that can be used to approximately solve combinatorial optimization problems. The usual QAOA a…

quant-ph2024

Quantum Distance Approximation for Persistence Diagrams

Bernardo Ameneyro, Rebekah Herrman, George Siopsis +1

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 summa…