A Machine Learning Study of High Robustness Quantum Walk Search Algorithm with Qudit Householder Coins

In this work, the quantum random walk search algorithm with a walk coin constructed by generalized Householder reflection and phase multiplier has been studied. The coin register is one qudit with an arbitrary dimension. Monte Carlo simulations, in combination with supervised machine learning, are u...

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Bibliographic Details
Main Authors: Hristo Tonchev, Petar Danev
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/16/3/150