2024 |
Experimental property-reconstruction in a photonic quantum extreme learning machine |
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2023 |
Coherence-Based Operational Nonclassicality Criteria |
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2023 |
Shadow tomography on general measurement frames |
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2023 |
Quantum scrambling via accessible tripartite information |
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2023 |
Regression of high-dimensional angular momentum states of light |
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2023 |
Potential and limitations of quantum extreme learning machines |
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2022 |
Nonclassicality detection from few Fock-state probabilities |
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2021 |
Dynamical learning of a photonics quantum-state engineering process |
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2021 |
Entanglement transfer, accumulation and retrieval via quantum-walk-based qubit–qudit dynamics |
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2021 |
Enhanced detection techniques of orbital angular momentum states in the classical and quantum regimes |
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2021 |
Real-time optimization of quantum state engineering protocol |
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2020 |
Supervised learning of time-independent Hamiltonians for gate design |
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2020 |
Ultrafast critical ground state preparation via bang-bang protocols |
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2020 |
Machine Learning-Based Classification of Vector Vortex Beams |
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2019 |
Experimental Engineering of Arbitrary Qudit States with Discrete-Time Quantum Walks |
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2019 |
Engineering of quantum states through quantum walk in the angular momentum |
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2019 |
Supervised learning of time-independent Hamiltonians for gate design |
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2019 |
Programmable linear quantum networks with a multimode fibre |
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2018 |
Approximate supervised learning of quantum gates via ancillary qubits |
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2018 |
Experimental generalized quantum suppression law in Sylvester interferometers |
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2017 |
Quantum state engineering using one-dimensional discrete-time quantum walks |
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2016 |
Suppression law of quantum states in a 3D photonic fast Fourier transform chip |
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2015 |
Six-dimensional measurements of trains of high brightness electron bunches |
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2015 |
Two-Color Radiation Generated in a Seeded Free-Electron Laser with Two Electron Beams |
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2013 |
Desktop X-ray tomography for low contrast samples |
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