3 papers
quant-ph2026
Maritime object classification with SAR imagery using quantum kernel methods
John Tanner, Nicholas Davies, Pascal Jahan Elahi +5
Illegal, unreported, and unregulated (IUU) fishing causes global economic losses of 10-25 billion USD annually and undermines marine sustainability and governance. Synthetic Apertu…
quant-ph2026
Non-variational supervised quantum kernel methods: a review
John Tanner, Chon-Fai Kam, Jingbo Wang
Quantum kernel methods (QKMs) have emerged as a prominent framework for supervised quantum machine learning. Unlike variational quantum algorithms, which rely on gradient-based opt…
quant-ph2025
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…