Density Classification with Non-Unitary Quantum Cellular Automata

Density Classification with Non-Unitary Quantum Cellular Automata

The density classification (DC) task, a computation which maps global density information to local density, is studied using one-dimensional non-unitary quantum cellular automata (QCAs). Two approaches are considered: one that preserves the number density and one that performs majority voting. For n...

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Bibliographic Details
Main Authors: Elisabeth Wagner, Federico Dell’Anna, Ramil Nigmatullin, Gavin K. Brennen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Entropy
Subjects:
quantum cellular automata
density classification
majority problem
quantum computing
quantum simulation
open quantum systems
Online Access:https://www.mdpi.com/1099-4300/27/1/26
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