Learning quantum systems

V Gebhart, R Santagati, AA Gentile, EM Gauger… - Nature Reviews …, 2023 - nature.com
The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

Optimal scheme for quantum metrology

J Liu, M Zhang, H Chen, L Wang… - Advanced Quantum …, 2022 - Wiley Online Library
Quantum metrology can achieve far better precision than classical metrology, and is one of
the most important applications of quantum technologies in the real world. To attain the …

[HTML][HTML] Photonic quantum metrology

E Polino, M Valeri, N Spagnolo, F Sciarrino - AVS Quantum Science, 2020 - pubs.aip.org
Quantum metrology is one of the most promising applications of quantum technologies. The
aim of this research field is the estimation of unknown parameters exploiting quantum …

[HTML][HTML] Deep reinforcement learning for quantum multiparameter estimation

V Cimini, M Valeri, E Polino, S Piacentini… - Advanced …, 2023 - spiedigitallibrary.org
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 fundamental …

Real-time two-axis control of a spin qubit

F Berritta, T Rasmussen, JA Krzywda… - Nature …, 2024 - nature.com
Optimal control of qubits requires the ability to adapt continuously to their ever-changing
environment. We demonstrate a real-time control protocol for a two-electron singlet-triplet …

Risk assessment of utility tunnels through risk interaction-based deep learning

G Xue, S Liu, L Ren, D Gong - Reliability Engineering & System Safety, 2024 - Elsevier
Due to the nonlinear, dynamic and multirisk coupling characteristics of utility tunnels, it is
important to construct a continuous risk assessment method that can consider risk …

Experimental multiparameter quantum metrology in adaptive regime

M Valeri, V Cimini, S Piacentini, F Ceccarelli… - Physical Review …, 2023 - APS
Relevant metrological scenarios involve the simultaneous estimation of multiple parameters.
The fundamental ingredient to achieve quantum-enhanced performance is based on the use …

Quantum enhancements for deep reinforcement learning in large spaces

S Jerbi, LM Trenkwalder, H Poulsen Nautrup… - PRX Quantum, 2021 - APS
Quantum algorithms have been successfully applied to provide computational speed ups to
various machine-learning tasks and methods. A notable exception to this has been deep …

Calibration of multiparameter sensors via machine learning at the single-photon level

V Cimini, E Polino, M Valeri, I Gianani, N Spagnolo… - Physical Review …, 2021 - APS
Calibration of sensors is a fundamental step in validating their operation. This can be a
demanding task, as it relies on acquiring detailed modeling of the device, which can be …

Steering-enhanced quantum metrology using superpositions of noisy phase shifts

KY Lee, JD Lin, A Miranowicz, F Nori, HY Ku… - Physical Review …, 2023 - APS
Quantum steering is an important correlation in quantum information theory. A recent work
[Nat. Commun. 12, 2410 (2021) NCAOBW 2041-1723 10.1038/s41467-021-22353-3] …