208 citations · 302 across the 11 of their papers we have counts for
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quant-ph2023★ 28 cited
Designing Quantum Annealing Schedules using Bayesian Optimization
Jernej Rudi Finžgar, Martin J. A. Schuetz, J. Kyle Brubaker +2
We propose and analyze the use of Bayesian optimization techniques to design quantum annealing schedules with minimal user and resource requirements. We showcase our scheme with re…
quant-ph2022★ 1 cited
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms
Martin J. A. Schuetz, J. Kyle Brubaker, Henry Montagu +6
We solve robot trajectory planning problems at industry-relevant scales. Our end-to-end solution integrates highly versatile random-key algorithms with model stacking and ensemble…