Nicolò Spagnolo

Deep reinforcement learning for quantum multiparameter estimation

2023 · Advanced Photonics

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 to consider that resources are limited, …

Polarization-encoded photonic quantum-to-quantum Bernoulli factory based on a quantum dot source

2024 · Science Advances

A Bernoulli factory is a randomness manipulation routine that takes as input a Bernoulli random variable, outputting another Bernoulli variable whose bias is a function of the input bias. Recently proposed quantum-to-quantum Bernoulli factory schemes …

Quantum machine learning with Adaptive Boson Sampling via post-selection

2025 · Nature Communications

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 intermediate approach has been pursued to demonstrate quantum computational advantage …