7 papers
Sparse positive maps on qutrits with exact nondecomposability thresholds and PPT-entanglement transitions
Davide Poderini, Angela Rosy Morgillo, Fabio Benatti +3
We study a family of sparse positive maps on qutrits for which positivity, decomposability, and PPT entanglement can all be analysed explicitly. The block structure of the associat…
Generating Non-Decomposable Maps with Differentiable Semidefinite Programming
Angela Rosy Morgillo, Davide Poderini, Fabio Anselmi +3
Positive maps that are not decomposable are a key resource in entanglement theory because they can detect bound entangled states, yet systematic methods for constructing them remai…
Divide et impera: hybrid multinomial classifiers from quantum binary models
Simone Roncallo, Angela Rosy Morgillo, Seth Lloyd +2
We investigate how to combine a collection of quantum binary models into a multinomial classifier. We employ a hybrid approach, adopting strategies like one-vs-one, one-vs-rest and…
Quantum Optical Neuron for Image Classification via Multiphoton Interference
Giorgio Minati, Simone Roncallo, Simone Scrofana +6
The rapid growth of machine learning is increasingly constrained by the energy and bandwidth limits of classical hardware. Optical and quantum technologies offer an alternative rou…
Spectral Gap Estimation via Adiabatic Preparation
Davide Cugini, Francesco Ghisoni, Angela Rosy Morgillo +1
Estimating energy gaps, i.e. the energy difference between two different states, in quantum systems is crucial for understanding their properties. Conventionally, spectral gap esti…
Learning Time-Varying Gaussian Quantum Lossy Channels
Angela Rosy Morgillo, Stefano Mancini, Massimiliano F. Sacchi +1
Time-varying quantum channels are essential for modeling realistic quantum systems with evolving noise properties. Here, we consider Gaussian lossy channels varying from one use to…