121 citations · 289 across the 6 of their papers we have counts for
20 papers
Bounding the benefit of adaptivity in quantum metrology using the relative fidelity
Jason L. Pereira, Leonardo Banchi, Stefano Pirandola
Protocols for discriminating between a pair of channels or for estimating a channel parameter can often be aided by adaptivity or by entanglement between the probe states. This can…
How to enhance quantum generative adversarial learning of noisy information
Paolo Braccia, Filippo Caruso, Leonardo Banchi
Quantum Machine Learning is where nowadays machine learning meets quantum information science. In order to implement this new paradigm for novel quantum technologies, we still need…
Quantum-enhanced barcode decoding and pattern recognition
Leonardo Banchi, Quntao Zhuang, Stefano Pirandola
Quantum hypothesis testing is one of the most fundamental problems in quantum information theory, with crucial implications in areas like quantum sensing, where it has been used to…
Measuring Analytic Gradients of General Quantum Evolution with the Stochastic Parameter Shift Rule
Leonardo Banchi, Gavin E. Crooks
Hybrid quantum-classical optimization algorithms represent one of the most promising application for near-term quantum computers. In these algorithms the goal is to optimize an obs…
Training Gaussian Boson Sampling Distributions
Leonardo Banchi, Nicolás Quesada, Juan Miguel Arrazola
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Applications have been developed which rely on directly programming GBS devices, but the abili…
Noise-Resilient Variational Hybrid Quantum-Classical Optimization
Laura Gentini, Alessandro Cuccoli, Stefano Pirandola +2
Variational hybrid quantum-classical optimization represents one of the most promising avenue to show the advantage of nowadays noisy intermediate-scale quantum computers in solvin…