884 citations · 12.2k across the 141 of their papers we have counts for
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quant-ph2022★ 19 cited
Quantum Annealing for Jet Clustering with Thrust
Andrea Delgado, Jesse Thaler
Quantum computing holds the promise of substantially speeding up computationally expensive tasks, such as solving optimization problems over a large number of elements. In high-ene…
quant-ph2022
Degeneracy Engineering for Classical and Quantum Annealing: A Case Study of Sparse Linear Regression in Collider Physics
Eric R. Anschuetz, Lena Funcke, Patrick T. Komiske +2
Classical and quantum annealing are computing paradigms that have been proposed to solve a wide range of optimization problems. In this paper, we aim to enhance the performance of…