3 papers
quant-ph2026
Quantum Shannon theory made robust: a tale of three protocols for almost i.i.d. sources
Filippo Girardi, Nilanjana Datta, Giacomo De Palma +1
The asymptotic rates of information-theoretic protocols - including error exponents, data-compression rates, and channel capacities - are traditionally derived under the idealised…
quant-ph2026
New approaches to almost i.i.d. information theory
Filippo Girardi, Giacomo De Palma, Ludovico Lami
Independent and identically distributed (i.i.d.) states are ubiquitous in quantum information theory. However, in a practical setting, the i.i.d. assumption is too stringent, and p…
quant-ph2025
Efficient classical computation of the neural tangent kernel of quantum neural networks
Anderson Melchor Hernandez, Davide Pastorello, Giacomo De Palma
We propose an efficient classical algorithm to estimate the Neural Tangent Kernel (NTK) associated with a broad class of quantum neural networks. These networks consist of arbitrar…