13 citations · 35 across the 14 of their papers we have counts for
13 papers · 1 filter
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…
First-Click Time Measurements
Mafalda Pinto Couto, Lorenzo Maccone, Lorenzo Catani +1
There are two distinct perspectives on the quantum time-of-arrival: one can ask for the probability that a particle is found at the detector at a given time, regardless of whether…
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…
Quantum stroboscopy for time measurements
Seth Lloyd, Lorenzo Maccone, Lionel Martellini +1
Mielnik's cannonball argument uses the Zeno effect to argue that projective measurements for time of arrival are impossible. If one repeatedly measures the position of a particle (…
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 Measurements of Time: A reply to criticisms
Lorenzo Maccone, Simone Roncallo, Krzysztof Sacha
In [arXiv:2409.00161v1 (2024)] Cavendish et al. raise three criticisms against our time of arrival proposal [L. Maccone and K. Sacha, Phys. Rev. Lett. 124, 110402 (2020)]. Here we…
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…
Interferometric binary phase estimations
Simone Roncallo, Xi Lu, Lorenzo Maccone
We propose an interferometric scheme where each photon returns one bit of the binary expansion of an unknown phase. It sets up a method for estimating the phase value at arbitrary…
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…
Pauli transfer matrix direct reconstruction: channel characterization without full process tomography
Simone Roncallo, Lorenzo Maccone, Chiara Macchiavello
We present a tomographic protocol for the characterization of multiqubit quantum channels. We discuss a specific class of input states, for which the set of Pauli measurements at t…
Multiqubit noise deconvolution and characterization
Simone Roncallo, Lorenzo Maccone, Chiara Macchiavello
We present a noise deconvolution technique for obtaining noiseless expectation values of noisy observables at the output of multiqubit quantum channels. For any number of qubits or…
When does a particle arrive?
Simone Roncallo, Krzysztof Sacha, Lorenzo Maccone
We compare the proposals that have appeared in the literature to describe a measurement of the time of arrival of a quantum particle at a detector. We show that there are multiple…