3 citations · 3 across the 3 of their papers we have counts for
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quant-ph2024★ 1 cited
Learning out-of-time-ordered correlators with classical kernel methods
John Tanner, Jason Pye, Jingbo Wang
Out-of-Time Ordered Correlators (OTOCs) are widely used to investigate information scrambling in quantum systems. However, directly computing OTOCs with classical computers is an e…
quant-ph2024★ 3 cited
Non-Hemolytic Peptide Classification Using A Quantum Support Vector Machine
Shengxin Zhuang, John Tanner, Yusen Wu +7
Quantum machine learning (QML) is one of the most promising applications of quantum computation. However, it is still unclear whether quantum advantages exist when the data is of a…