activity
20122026
most citedExperimental boson sampling in arbitrary integrated photonic circuits

666 citations · 905 across the 30 of their papers we have counts for

collaborators
Showing 2025Show all

14 papers · 1 filter

physics.optics2025★ 6 cited

Laser-written reconfigurable photonic integrated circuit directly coupled to a single-photon avalanche diode array

Giulio Gualandi, Simone Atzeni, Marco Gardina +8

To date, most integrated quantum photonics experiments rely on single-photon detectors operating at cryogenic temperatures coupled to photonic integrated circuits (PICs) through si…

quant-ph2025

Time-series forecasting with multiphoton quantum states and integrated photonics

Rosario Di Bartolo, Simone Piacentini, Francesco Ceccarelli +4

Quantum machine learning algorithms have very recently attracted significant attention in photonic platforms. In particular, reconfigurable integrated photonic circuits offer a pro…

quant-ph2025

A scalable advantage in multi-photon quantum machine learning

Yong Wang, Zhenghao Yin, Tobias Haug +6

Photons are promising candidates for quantum information technology due to their high robustness and long coherence time at room temperature. Inspired by the prosperous development…

physics.optics2025

Tunable integrated ring resonators by femtosecond laser micromachining

Giulio Gualandi, Fabio Saretto, Daniele Pedroli +4

Femtosecond Laser Micromachining (FLM) is a powerful technology for the fabrication of photonic devices. In this context, the integration of resonant elements within the platform r…

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

Experimental data re-uploading with provable enhanced learning capabilities

Martin F. X. Mauser, Solène Four, Lena Marie Predl +7

The last decades have seen the development of quantum machine learning, stemming from the intersection of quantum computing and machine learning. This field is particularly promisi…

quant-ph2025★ 2 cited

High-Performance Heterodyne Receiver for Quantum Information Processing in a Laser Written Integrated Photonic Platform

Andrea Peri, Giulio Gualandi, Tommaso Bertapelle +8

Continuous-Variable Quantum Key Distribution (CV-QKD) and Quantum Random Number Generation (CV-QRNG) are critical technologies for secure communication and high-speed randomness ge…

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★ 1 cited

A low-loss, 24-mode laser-written universal photonic processor in a glass-based platform

Andrea Barzaghi, Maëlle Bénéfice, Francesco Ceccarelli +10

We report the fabrication of the first 24-mode universal photonic processor (UPP) realized through femtosecond laser writing (FLW), marking the most complex UPP demonstrated to dat…

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★ 2 cited

Experimental verification of Threshold Quantum State Tomography on a fully-reconfigurable photonic integrated circuit

Eugenio Caruccio, Diego Maragnano, Giovanni Rodari +12

Reconstructing the state of a complex quantum system represents a pivotal task for all quantum information applications, both for characterization purposes and for verification of…

quant-ph2025

Experimental neuromorphic computing based on quantum memristor

Mirela Selimović, Iris Agresti, Michał Siemaszko +8

Machine learning has recently developed novel approaches, mimicking the synapses of the human brain to achieve similarly efficient learning strategies. Such an approach retains the…

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★ 1 cited

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…