158 citations · 776 across the 32 of their papers we have counts for
26 papers · 1 filter
In-orbit operation of a programmable quantum photonic processor
Simon Steiner, Peter Schiansky, Antonius Scherer +17
Quantum technologies promise computational capabilities beyond the reach of classical systems. A forward-looking application lies in satellite missions, which increasingly depend o…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Demonstration of Hardware Efficient Photonic Variational Quantum Algorithm
Iris Agresti, Koushik Paul, Peter Schiansky +10
Quantum computing has brought a paradigm change in computer science, where non-classical technologies have promised to outperform their classical counterpart. Such an advantage was…
Experimental quantum-enhanced kernels on a photonic processor
Zhenghao Yin, Iris Agresti, Giovanni de Felice +9
Recently, machine learning had a remarkable impact, from scientific to everyday-life applications. However, complex tasks often imply unfeasible energy and computational power cons…
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…
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…
Variational quantum algorithm for experimental photonic multiparameter estimation
Valeria Cimini, Mauro Valeri, Simone Piacentini +5
Variational quantum metrology represents a powerful tool for optimizing generic estimation strategies, combining the principles of variational optimization with the techniques of q…
High-fidelity generation of four-photon GHZ states on-chip
Mathias Pont, Giacomo Corrielli, Andreas Fyrillas +17
Mutually entangled multi-photon states are at the heart of all-optical quantum technologies. While impressive progresses have been reported in the generation of such quantum light…
Deep reinforcement learning for quantum multiparameter estimation
Valeria Cimini, Mauro Valeri, Emanuele Polino +6
Estimation of physical quantities is at the core of most scientific research and the use of quantum devices promises to enhance its performances. In real scenarios, it is fundament…
Experimental multiparameter quantum metrology in adaptive regime
Mauro Valeri, Valeria Cimini, Simone Piacentini +8
Relevant metrological scenarios involve the simultaneous estimation of multiple parameters. The fundamental ingredient to achieve quantum-enhanced performances is based on the use…
Quantifying n-photon indistinguishability with a cyclic integrated interferometer
Mathias Pont, Riccardo Albiero, Sarah E. Thomas +14
We report on a universal method to measure the genuine indistinguishability of n-photons - a crucial parameter that determines the accuracy of optical quantum computing. Our approa…