1 citations · 1 across the 8 of their papers we have counts for
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Sharp Target-Domain Certificates for Quantum-Kernel Advantage under Distribution Shift
Roberto Fernández-Barrios, Iker Pastor-López, Asier González-Santocildes +1
Quantum predictive advantage under shift usually requires known target labels. We derive the assumption-free sharp identified interval for the finite-batch advantage of a fixed can…
Conditional validity of quantum event classifiers under collider systematics and quantum estimation uncertainty
Roberto Fernández-Barrios, Iker Pastor-López, Asier González-Santocildes +1
Claims about a deployed quantum machine-learning classifier can fail when target data shift or when finite-shot quantum evaluation randomizes the model itself. We develop an inform…
Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components
Javier Lazaro, Juan-Ignacio Vazquez, Pablo Garcia-Bringas
Parameterised quantum circuit (PQC) based Quantum Reinforcement Learning (QRL) has emerged as a promising paradigm at the intersection of quantum computing and reinforcement learni…
Machine Learning Methods as Robust Quantum Noise Estimators
Jon Gardeazabal-Gutierrez, Erik B. Terres-Escudero, Pablo García Bringas
Access to quantum computing is steadily increasing each year as the speed advantage of quantum computers solidifies with the growing number of usable qubits. However, the inherent…