From the 2 of 22 linked papers with an AI index.
22 papers
Bosonic quantum communication beyond the thermal threshold
Francesco Anna Mele, Giuseppe Catalano, Marco Fanizza +2
The paper proves that non‑Gaussian input states can achieve a positive quantum capacity for bosonic thermal attenuator channels in regimes where Gaussian inputs give zero coherent…
Optimal tomography of bosonic and fermionic Gaussian states
Senrui Chen, Marco Fanizza, Filippo Girardi +4
The paper determines the exact sample complexity for learning bosonic and fermionic Gaussian quantum states, showing that a number of copies scaling quadratically with the number o…
Efficient learning of bosonic Gaussian unitaries
Marco Fanizza, Vishnu Iyer, Junseo Lee +2
Bosonic Gaussian unitaries are fundamental building blocks of central continuous-variable quantum technologies such as quantum-optic interferometry and bosonic error-correction sch…
Random purification channel made simple
Filippo Girardi, Francesco Anna Mele, Ludovico Lami
The recently introduced random purification channel, which converts i.i.d. copies of any mixed quantum state into a uniform convex combination of i.i.d. copies of its purif…
Random Stinespring superchannel: converting channel queries into dilation isometry queries
Filippo Girardi, Francesco Anna Mele, Haimeng Zhao +2
The recently introduced random purification channel, which converts copies of an arbitrary mixed quantum state into copies of the same uniformly random purification, has em…
Advances in quantum learning theory with bosonic systems
Francesco Anna Mele
This paper reviews recent advances in quantum learning theory for continuous-variable (CV) systems. Quantum learning theory investigates how to extract classical information from q…