4 papers
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…
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…
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…
Accurate simulations of nonlinear dynamic shear ruptures on pre-existing faults in 3D elastic solids with dual-pairing SBP methods
Kenneth Duru, Christopher Williams, Frederick Fung
In this paper we derive and analyse efficient and stable numerical methods for accurate numerical simulations of nonlinear dynamic shear ruptures on non-planar faults embedded in 3…