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19922026
most citedMachine Learning in Automated Text Categorization

8k citations

Showing 2022 · quant-phShow all

9 papers · 2 filters

quant-ph2022★ 47 cited

A source of entangled photons based on a cavity-enhanced and strain-tuned GaAs quantum dot

Michele B. Rota, Tobias M. Krieger, Quirin Buchinger +21

A quantum-light source that delivers photons with a high brightness and a high degree of entanglement is fundamental for the development of efficient entanglement-based quantum-key…

quant-ph2022★ 51 cited

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…

quant-ph2022★ 28 cited

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…

quant-ph2022★ 7 cited

First design of a superconducting qubit for the QUB-IT experiment

Danilo Labranca, Hervè Atsè Corti, Leonardo Banchi +5

Quantum sensing is a rapidly growing field of research which is already improving sensitivity in fundamental physics experiments. The ability to control quantum devices to measure…

quant-ph2022★ 59 cited

Critical Quantum Metrology in the Non-Linear Quantum Rabi Model

Zu-Jian Ying, Simone Felicetti, Gang Liu +1

The quantum Rabi model (QRM) with linear coupling between light mode and qubit exhibits the analog of a second order phase transition for vanishing mode frequency which allows for…

quant-ph2022★ 67 cited

Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian Variational Ansatz

Antonio Anna Mele, Glen Bigan Mbeng, Giuseppe Ernesto Santoro +2

A large ongoing research effort focuses on Variational Quantum Algorithms (VQAs), representing leading candidates to achieve computational speed-ups on current quantum devices. The…