activity
20162026
most citedMachine learning-based classification of vector vortex beams

150 citations · 789 across the 38 of their papers we have counts for

collaborators

38 papers

quant-ph2026

Optical Quantum Computing

Hamza Hasnaoui, Leonardo Limongi, Taira Giordani +5

Under the label of optical quantum computing, there are a variety of protocols and experiments that use the quantum properties of light to achieve a computational advantage over cl…

quant-ph2026

Observation of associative-memory retrieval and spin-glass phases on a photonic quantum simulator

Taira Giordani, Gennaro Zanfardino, Luca Leuzzi +16

Models of interacting complex systems provide the fundamental statistical physics reference frame for the study and the understanding of associative memories, machine learning, and…

quant-ph2026

Boson Sampling with a reconfigurable 128 modes 3D integrated photonic circuit

Simone Di Micco, Francesco Hoch, Alessandro Ciorra +10

Integrated quantum photonics has emerged as one of the leading platforms for scaling quantum information processing, offering compact, stable, and low-loss hardware with precise ph…

quant-ph2026

Efficient classical training of model-free quantum photonic reservoir

Rosario Di Bartolo, Valeria Cimini, Giorgio Minati +10

Model-independent estimation of the properties of quantum states is a central challenge in quantum technologies, as experimental imperfections, drifts, and imprecise models of the…

quant-ph2026

High-Dimensional Quantum Photonics: Roadmap

Mehul Malik, Micheal Kues, Takuya Ikuta +30

The field of high-dimensional quantum photonics involves the use of multimode photonic degrees-of-freedom such as the spatial, temporal, or spectral structure of light to encode mu…

quant-ph2025

Complexity and multi-functional variants of the Quantum-to-Quantum Bernoulli Factories

Francesco Hoch, Taira Giordani, Gonzalo Carvacho +2

A Bernoulli factory is a model for randomness manipulation that transforms an initial Bernoulli random variable into another Bernoulli variable by applying a predetermined function…

quant-ph2025

Optimal distillation of photonic indistinguishability

Francesco Hoch, Anita Camillini, Giovanni Rodari +13

Imperfect photons' indistinguishability limits the performance of photonic quantum communication and computation . Distillation protocols, inspired by entanglement purification, en…

quant-ph2025★ 1 cited

Observation of Lie algebraic invariants in Quantum Linear Optics

Giovanni Rodari, Tommaso Francalanci, Eugenio Caruccio +12

Over the past few years, various methods have been developed to engineeer and to exploit the dynamics of photonic quantum states as they evolve through linear optical networks. Rec…

quant-ph2025★ 5 cited

Photonic Quantum Convolutional Neural Networks with Adaptive State Injection

Léo Monbroussou, Beatrice Polacchi, Verena Yacoub +14

Linear optical architectures have been extensively investigated for quantum computing and quantum machine learning applications. Recently, proposals for photonic quantum machine le…

quant-ph2025★ 3 cited

Quantum memristor with vacuum--one-photon qubits

Simone Di Micco, Beatrice Polacchi, Taira Giordani +1

Quantum memristors represent a promising interface between quantum and neuromorphic computing, combining the nonlinear, memory-dependent behavior of classical memristors with the p…

quant-ph2025★ 34 cited

Quantum machine learning with Adaptive Boson Sampling via post-selection

Francesco Hoch, Eugenio Caruccio, Giovanni Rodari +18

The implementation of large-scale universal quantum computation represents a challenging and ambitious task on the road to quantum processing of information. In recent years, an in…

quant-ph2025★ 8 cited

Quantum reservoir computing for photonic entanglement witnessing

Danilo Zia, Luca Innocenti, Giorgio Minati +10

Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approach…

quant-ph2024★ 3 cited

Experimental observation of counter-intuitive features of photonic bunching

Giovanni Rodari, Carlos Fernandes, Eugenio Caruccio +14

Bosonic bunching is a term used to describe the well-known tendency of bosons to bunch together, and which differentiates their behaviour from that of fermions or classical particl…

quant-ph2024★ 9 cited

Polarization-encoded photonic quantum-to-quantum Bernoulli factory based on a quantum dot source

Giovanni Rodari, Francesco Hoch, Alessia Suprano +6

A Bernoulli factory is a randomness manipulation routine that takes as input a Bernoulli random variable, outputting another Bernoulli variable whose bias is a function of the inpu…

quant-ph2024★ 12 cited

Modular Quantum-to-Quantum Bernoulli Factory in an Integrated Photonic Processor

Francesco Hoch, Taira Giordani, Luca Castello +9

Generation and manipulation of randomness is a relevant task for several applications of information technology. It has been shown that quantum mechanics offers some advantages for…

quant-ph2024★ 10 cited

Variational approach to photonic quantum circuits via the parameter shift rule

Francesco Hoch, Giovanni Rodari, Taira Giordani +9

In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum c…

quant-ph2024★ 2 cited

Variational quantum cloning machine on an integrated photonic interferometer

Francesco Hoch, Giovanni Rodari, Eugenio Caruccio +13

A seminal task in quantum information theory is to realize a device able to produce copies of a generic input state with the highest possible output fidelity, thus realizing an \te…

quant-ph2024★ 8 cited

Semi-device independent characterization of multiphoton indistinguishability

Giovanni Rodari, Leonardo Novo, Riccardo Albiero +15

Multiphoton indistinguishability is a central resource for quantum enhancement in sensing and computation. Developing and certifying large scale photonic devices requires reliable…

quant-ph2023★ 31 cited

Experimental certification of contextuality, coherence and dimension in a programmable universal photonic processor

Taira Giordani, Rafael Wagner, Chiara Esposito +11

Quantum superposition of high-dimensional states enables both computational speed-up and security in cryptographic protocols. However, the exponential complexity of tomographic pro…

quant-ph2023★ 11 cited

Teleportation of a genuine single-rail vacuum-one-photon qubit generated via a quantum dot source

Beatrice Polacchi, Francesco Hoch, Giovanni Rodari +5

Quantum state teleportation represents a pillar of quantum information and a milestone on the roadmap towards quantum networks with a large number of nodes. Successful photonic dem…

quant-ph2023

Generation and characterization of polarization-entangled states using quantum dot single-photon sources

Mauro Valeri, Paolo Barigelli, Beatrice Polacchi +6

Single-photon sources based on semiconductor quantum dots find several applications in quantum information processing due to their high single-photon indistinguishability, on-deman…

quant-ph2023★ 42 cited

Experimental property-reconstruction in a photonic quantum extreme learning machine

Alessia Suprano, Danilo Zia, Luca Innocenti +10

Recent developments have led to the possibility of embedding machine learning tools into experimental platforms to address key problems, including the characterization of the prope…

quant-ph2023★ 2 cited

Validation of a noisy Gaussian boson sampler via graph theory

Denis Stanev, Taira Giordani, Nicolò Spagnolo +1

Quantum photonic processors are emerging as promising platforms to prove preliminary evidence of quantum computational advantage towards the realization of universal quantum comput…

quant-ph2023★ 16 cited

Characterization of multi-mode linear optical networks

Francesco Hoch, Taira Giordani, Nicolò Spagnolo +3

Multi-mode optical interferometers represent the most viable platforms for the successful implementation of several quantum information schemes that take advantage of optical proce…