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20062023
most citedMultistart Methods for Quantum Approximate Optimization

92 citations · 612 across the 42 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.DS2019★ 1 cited

Leveraging Special-Purpose Hardware for Local Search Heuristics

Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal +3

As we approach the physical limits predicted by Moore's law, a variety of specialized hardware is emerging to tackle specialized tasks in different domains. Within combinatorial op…

cs.SI2019★ 5 cited

ELRUNA: Elimination Rule-based Network Alignment

Zirou Qiu, Ruslan Shaydulin, Xiaoyuan Liu +3

Networks model a variety of complex phenomena across different domains. In many applications, one of the most essential tasks is to align two or more networks to infer the similari…

quant-ph2019★ 57 cited

Multilevel Combinatorial Optimization Across Quantum Architectures

Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre +3

Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the post Moore's law supercomputing era. However, the limited numbe…

cs.DS2019★ 16 cited

Hypergraph Partitioning With Embeddings

Justin Sybrandt, Ruslan Shaydulin, Ilya Safro

Problems in scientific computing, such as distributing large sparse matrix operations, have analogous formulations as hypergraph partitioning problems. A hypergraph is a generaliza…

quant-ph2019★ 92 cited

Multistart Methods for Quantum Approximate Optimization

Ruslan Shaydulin, Ilya Safro, Jeffrey Larson

Hybrid quantum-classical algorithms such as the quantum approximate optimization algorithm (QAOA) are considered one of the most promising approaches for leveraging near-term quant…

cs.LG2019★ 9 cited

FOBE and HOBE: First- and High-Order Bipartite Embeddings

Justin Sybrandt, Ilya Safro

Typical graph embeddings may not capture type-specific bipartite graph features that arise in such areas as recommender systems, data visualization, and drug discovery. Machine lea…