4 papers
Mixed State Entanglement Classification using Artificial Neural Networks
Cillian Harney, Mauro Paternostro, Stefano Pirandola
Reliable methods for the classification and quantification of quantum entanglement are fundamental to understanding its exploitation in quantum technologies. One such method, known…
Analytical Bounds for Dynamic Multi-Channel Discrimination
Cillian Harney, Stefano Pirandola
The ability to precisely discriminate multiple quantum channels is fundamental to achieving quantum enhancements in data-readout, target detection, pattern recognition, and more. O…
Idler-Free Multi-Channel Discrimination via Multipartite Probe States
Cillian Harney, Stefano Pirandola
The characterisation of Quantum Channel Discrimination (QCD) offers critical insight for future quantum technologies in quantum metrology, sensing and communications. The task of m…
Entanglement Classification via Neural Network Quantum States
Cillian Harney, Stefano Pirandola, Alessandro Ferraro +1
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…