9 citations · 12 across the 5 of their papers we have counts for
6 papers
Opportunistic full reconstruction of 100-dimensional frequency-bin quantum states
Hanson H. Nguyen, Zachary Goisman, Chen-You Su +5
Frequency-bin encoding provides a scalable platform for photonic quantum information processing by enabling high-dimensional qudit states compatible with the telecommunications inf…
Quantum work extraction from partial information and with finite resources
Giacomo Guarnieri, Diego Maragnano, Giulia Gamba +2
Information can be converted into work, but in quantum mechanics information about a state is not freely available: it must be inferred statistically from measurements on a finite…
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…
A Permutation-equivariant Deep Learning Model for Quantum State Characterization
Diego Maragnano, Claudio Cusano, Marco Liscidini
The characterization of quantum states is a fundamental step of any application of quantum technologies. Nowadays there exist several approaches addressing this problem, also based…
Enhanced Compressive Threshold Quantum State Tomography for Qudit Systems
Giovanni Garberoglio, Maurizio Dapor, Diego Maragnano +2
We propose an efficient quantum state tomography method inspired by compressed sensing and threshold quantum state tomography that can drastically reduce the number of measurement…
A Tailor-made Quantum State Tomography Approach
Daniele Binosi, Giovanni Garberoglio, Diego Maragnano +2
Quantum state tomography (QST) aims at reconstructing the state of a quantum system. However in conventional QST the number of measurements scales exponentially with the number of…