469 citations · 1.9k across the 19 of their papers we have counts for
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quant-ph2019★ 3 cited
Training the Quantum Approximate Optimization Algorithm without access to a Quantum Processing Unit
Michael Streif, Martin Leib
In this paper, we eliminate the classical outer learning loop of the Quantum Approximate Optimization Algorithm (QAOA) and present a strategy to find good parameters for QAOA based…
quant-ph2019★ 33 cited
Comparison of QAOA with Quantum and Simulated Annealing
Michael Streif, Martin Leib
We present a comparison between the Quantum Approximate Optimization Algorithm (QAOA) and two widely studied competing methods, Quantum Annealing (QA) and Simulated Annealing (SA).…