Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Harney, Cillian"'
Autor:
Ortolano, Giuseppe, Napoli, Carmine, Harney, Cillian, Pirandola, Stefano, Leonetti, Giuseppe, Boucher, Pauline, Losero, Elena, Genovese, Marco, Ruo-Berchera, Ivano
The challenge of pattern recognition is to invoke a strategy that can accurately extract features of a dataset and classify its samples. In realistic scenarios this dataset may be a physical system from which we want to retrieve information, such as
Externí odkaz:
http://arxiv.org/abs/2304.05830
Publikováno v:
Phys. Rev. Applied 18, 014012 (2022)
Future quantum networks will be hybrid structures, constructed from complex architectures of quantum repeaters interconnected by quantum channels that describe a variety of physical domains; predominantly optical-fiber and free-space links. In this h
Externí odkaz:
http://arxiv.org/abs/2207.05482
Autor:
Harney, Cillian, Pirandola, Stefano
Publikováno v:
Quantum Sci. Technol. 7, 045009 (2022)
The optimal performance of a communication network is limited not only by the quality of point-to-point channels, but by the efficacy of its constituent technologies. Understanding the limits of quantum networks requires an understanding of both the
Externí odkaz:
http://arxiv.org/abs/2207.05481
Autor:
Harney, Cillian, Pirandola, Stefano
Publikováno v:
PRX Quantum 3, 010349 (2022)
The development of a future, global quantum communication network (or quantum internet) will enable high rate private communication and entanglement distribution over very long distances. However, the large-scale performance of ground-based quantum n
Externí odkaz:
http://arxiv.org/abs/2104.10701
Autor:
Harney, Cillian, Pirandola, Stefano
Publikováno v:
PRX Quantum 3, 010311 (2022)
We propose a multi-mode modulation scheme for Continuous Variable (CV) quantum communications, which we call quantum pattern encoding. In this setting, classical information can be encoded into multi-mode patterns of discretely-modulated coherent sta
Externí odkaz:
http://arxiv.org/abs/2103.13223
Publikováno v:
New J. Phys. 23 063033 (2021)
Reliable methods for the classification and quantification of quantum entanglement are fundamental to understanding its exploitation in quantum technologies. One such method, known as Separable Neural Network Quantum States (SNNS), employs a neural n
Externí odkaz:
http://arxiv.org/abs/2102.06053
Autor:
Harney, Cillian, Pirandola, Stefano
Publikováno v:
Phys. Rev. A 104, 032402 (2021)
The ability to precisely discriminate multiple quantum channels is fundamental to achieving quantum enhancements in data-readout, target detection, pattern recognition, and more. Optimal discrimination protocols often rely on entanglement shared betw
Externí odkaz:
http://arxiv.org/abs/2101.10694
Autor:
Harney, Cillian, Pirandola, Stefano
Publikováno v:
npj Quantum Information, 7, 153 (2021)
The characterisation of Quantum Channel Discrimination (QCD) offers critical insight for future quantum technologies in quantum metrology, sensing and communications. The task of multi-channel discrimination creates a scenario in which the discrimina
Externí odkaz:
http://arxiv.org/abs/2010.12354
Publikováno v:
Phys. Rev. A 103, 052406 (2021)
Quantum Channel Discrimination (QCD) presents a fundamental task in quantum information theory, with critical applications in quantum reading, illumination, data-readout and more. The extension to multiple quantum channel discrimination has seen a re
Externí odkaz:
http://arxiv.org/abs/2010.10855
The task of classifying the entanglement properties of a multipartite quantum state poses a remarkable challenge due to the exponentially increasing number of ways in which quantum systems can share quantum correlations. Tackling such challenge requi
Externí odkaz:
http://arxiv.org/abs/1912.13207