4 citations · 11 across the 16 of their papers we have counts for
17 papers · 1 filter
Optimal Dynamic Cooling of Multiple Qubits
Mattia Reda, Massimiliano Sacchi, Chiara Macchiavello +1
We solve the closed-system problem of cooling qubits, selected from identical thermal qubits, to the lowest common local temperature allowed by unitarity. The optimal proto…
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…
Shake before use: universal enhancement of quantum thermometry by unitary driving
Emanuele Tumbiolo, Lorenzo Maccone, Chiara Macchiavello +2
Quantum thermometry aims at determining temperature with ultimate precision in the quantum regime. Standard equilibrium approaches, limited by the Quantum Fisher Information given…
Experimental entropic uncertainty relations in dimensions three to five
Laura Serino, Giovanni Chesi, Benjamin Brecht +3
We provide experimental validation of tight entropic uncertainty relations for the Shannon entropies of observables with mutually unbiased eigenstates in high dimensions. In partic…
Quantum optical shallow networks
Simone Roncallo, Angela Rosy Morgillo, Seth Lloyd +2
Classical shallow networks are universal approximators. Given a sufficient number of neurons, they can reproduce any continuous function to arbitrary precision, with a resource cos…
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…
Quantum Analog-to-Digital Converter for Phase Estimation
Eugenio Caruccio, Simone Roncallo, Valeria Cimini +9
Traditional quantum metrology assesses precision using the figures of merit of continuous-valued parameter estimation. Recently, quantum digital estimation was introduced: it evalu…
Quantum frequency resampling
Emanuele Tumbiolo, Simone Roncallo, Chiara Macchiavello +1
In signal processing, resampling algorithms can modify the number of resources encoding a collection of data points. Downsampling reduces the cost of storage and communication, whi…
Complementarity-based complementarity: the choice of mutually unbiased observables shapes quantum uncertainty relations
Laura Serino, Giovanni Chesi, Benjamin Brecht +3
Quantum uncertainty relations impose fundamental limits on the joint knowledge that can be acquired from complementary observables: perfect knowledge of a quantum state in one basi…
Detecting Markovianity of Quantum Processes via Recurrent Neural Networks
Angela Rosy Morgillo, Massimiliano F. Sacchi, Chiara Macchiavello
We present a novel methodology utilizing Recurrent Neural Networks (RNNs) to classify Markovian and non-Markovian quantum processes, leveraging time series data derived from Choi s…
Quantum optical classifier with superexponential speedup
Simone Roncallo, Angela Rosy Morgillo, Chiara Macchiavello +2
Classification is a central task in deep learning algorithms. Usually, images are first captured and then processed by a sequence of operations, of which the artificial neuron repr…
Number of bits returned by a quantum estimation
Xi Lu, Wojciech Górecki, Chiara Macchiavello +1
We give two upper bounds to the mutual information in arbitrary quantum estimation strategies. The first is based on some simple Fourier properties of the estimation apparatus. The…
Work Fluctuations in Ergotropic Heat Engines
Giovanni Chesi, Chiara Macchiavello, Massimiliano Federico Sacchi
We study the work fluctuations in ergotropic heat engines, namely two-strokes quantum Otto engines where the work stroke is designed to extract the ergotropy (the maximum amount of…
Quantum tomography of mesoscopic superpositions of radiation states
G. M. D'Ariano, C. Macchiavello, L. Maccone
We show the feasibility of a tomographic reconstruction of Schrödinger cat states generated according to the scheme proposed by S. Song, C.M. Caves and B. Yurke [Phys. Rev. A 41, 5…