15 citations · 27 across the 6 of their papers we have counts for
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cs.LG2024★ 1 cited
PearSAN: A Machine Learning Method for Inverse Design using Pearson Correlated Surrogate Annealing
Michael Bezick, Blake A. Wilson, Vaishnavi Iyer +6
PearSAN is a machine learning-assisted optimization algorithm applicable to inverse design problems with large design spaces, where traditional optimizers struggle. The algorithm l…
quant-ph2024★ 11 cited
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
Ge Yan, Wenjie Wu, Yuheng Chen +6
Quantum computing is a promising paradigm that may overcome the current computational power bottlenecks. The increasing maturity of quantum processors provides more possibilities f…