Distance-based classifier on the Quantum Inspire

Autor:	Niels M. P. Neumann, Frank Phillipson, Robert S. Wezeman
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	Quantum circuit Quantum algorithms Computer engineering Computer science Quantum algorithm Quantum computing Classifier (UML) Quantum Implementation Distance based Quantum computer
Zdroj:	First International Symposium on Applied Artificial Intelligence (ISAAI’19), München (Germany), 2019
Popis:	With quantum computers entering a new phase of maturity and quantum algorithms covering a growing range of applications, it is important that the two meet at some point in the middle. Currently, the two meet only by toy-problem implementations for some algorithms. In this work, we extend a recently proposed distance-based classifier and give explicit quantum circuit implementations, and we give a method to overcome restrictions on the data, present in the original work.
Databáze:	OpenAIRE
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