2 papers
quant-ph2025
Exoplanetary atmospheres retrieval via a quantum extreme learning machine
Marco Vetrano, Tiziano Zingales, G. Massimo Palma +1
The study of exoplanetary atmospheres traditionally relies on forward models to analytically compute the spectrum of an exoplanet by fine-tuning numerous chemical and physical para…
quant-ph2025
State estimation with quantum extreme learning machines beyond the scrambling time
Marco Vetrano, Gabriele Lo Monaco, Luca Innocenti +2
Quantum extreme learning machines (QELMs) leverage untrained quantum dynamics to efficiently process information encoded in input quantum states, avoiding the high computational co…