64 citations · 214 across the 31 of their papers we have counts for
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quant-ph2021★ 34 cited
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA
Ruslan Shaydulin, Kunal Marwaha, Jonathan Wurtz +1
Understanding the best known parameters, performance, and systematic behavior of the Quantum Approximate Optimization Algorithm (QAOA) remain open research questions, even as the a…
quant-ph2021★ 64 cited
Importance of Kernel Bandwidth in Quantum Machine Learning
Ruslan Shaydulin, Stefan M. Wild
Quantum kernel methods are considered a promising avenue for applying quantum computers to machine learning problems. Identifying hyperparameters controlling the inductive bias of…