3 papers
quant-ph2026
Distributed Variational Quantum Optimisation by Entanglement-Selective Transport
Edric Matwiejew, Pascal Elahi, Ugo Varetto
Distributed quantum optimisation is challenging because computing the problem cost function across multiple quantum processors requires non-local gates, which can incur overhead in…
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
Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset
Luke Antoncich, Yuben Moodley, Ugo Varetto +5
Biomarker-based prediction of clinical outcomes is challenging due to nonlinear relationships, correlated features, and the limited size of many medical datasets. Classical machine…