3 citations · 5 across the 5 of their papers we have counts for
6 papers
Generalised quantum Stein's lemma more robust than ever
Filippo Girardi, Kuan-Yi Lee, Masahito Hayashi +1
The generalised quantum Stein's lemma is a key result in quantum hypothesis testing, and connects this fundamental primitive of quantum information processing with quantum resource…
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…
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…
Quantum channel tomography: optimal bounds and a Heisenberg-to-classical phase transition
Kean Chen, Filippo Girardi, Aadil Oufkir +2
How many black-box queries to a quantum channel are needed to learn its full classical description? This question lies at the heart of quantum channel tomography (also known as qua…
Quantitative convergence of trained quantum neural networks to a Gaussian process
Anderson Melchor Hernandez, Filippo Girardi, Davide Pastorello +1
We study quantum neural networks where the generated function is the expectation value of the sum of single-qubit observables across all qubits. In [Girardi \emph{et al.}, arXiv:24…
Trained quantum neural networks are Gaussian processes
Filippo Girardi, Giacomo De Palma
We study quantum neural networks made by parametric one-qubit gates and fixed two-qubit gates in the limit of infinite width, where the generated function is the expectation value…