most citedQuantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering

10 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2023★ 2 cited

MadQCI: a heterogeneous and scalable SDN QKD network deployed in production facilities

V. Martin, J. P. Brito, L. Ortiz +23

Current quantum key distribution (QKD) networks focus almost exclusively on transporting secret keys with the highest possible rate. Consequently, they are built as mostly fixed, a…

cs.CR2023

Linking QKD testbeds across Europe

Max Brauer, Rafael J. Vicente, Jaime S. Buruaga +11

Quantum-key-distribution (QKD) networks are gaining importance and it has become necessary to analyze the most appropriate methods for their long-distance interconnection. In this…

quant-ph2023

A Review of the Applications of Quantum Machine Learning in Optical Communication Systems

Ark Modi, Alonso Viladomat Jasso, Roberto Ferrara +4

In the context of optical signal processing, quantum and quantum-inspired machine learning algorithms have massive potential for deployment. One of the applications is in error cor…

quant-ph2023★ 10 cited

Quantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering

Alonso Viladomat Jasso, Ark Modi, Roberto Ferrara +4

Nearest-neighbour clustering is a simple yet powerful machine learning algorithm that finds natural application in the decoding of signals in classical optical-fibre communication…

quant-ph2023

Testing of Hybrid Quantum-Classical K-Means for Nonlinear Noise Mitigation

Ark Modi, Alonso Viladomat Jasso, Roberto Ferrara +4

Nearest-neighbour clustering is a powerful set of heuristic algorithms that find natural application in the decoding of signals transmitted using the M-Quadrature Amplitude Modulat…