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20222026
most citedQuantifying n-photon indistinguishability with a cyclic integrated interferometer

35 citations · 106 across the 13 of their papers we have counts for

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Showing 2025 · quant-phShow all

8 papers · 2 filters

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★ 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★ 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…