Cargando…
A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms
Quantum Machine Learning (QML) has not yet demonstrated extensively and clearly its advantages compared to the classical machine learning approach. So far, there are only specific cases where some quantum-inspired techniques have achieved small incremental advantages, and a few experimental cases in...
Autores principales: | Mancilla, Javier, Pere, Christophe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689295/ https://www.ncbi.nlm.nih.gov/pubmed/36421511 http://dx.doi.org/10.3390/e24111656 |
Ejemplares similares
-
The complexity of NISQ
por: Chen, Sitan, et al.
Publicado: (2023) -
A quantum-inspired tool for bridging the NISQ ERA
por: Montangero, Simone
Publicado: (2022) -
Quantum Annealing in the NISQ Era: Railway Conflict Management
por: Domino, Krzysztof, et al.
Publicado: (2023) -
Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies
por: Markidis, Stefano
Publicado: (2023) -
Quantum CNOT Circuits Synthesis for NISQ Architectures Using the Syndrome Decoding Problem
por: de Brugière, Timothée Goubault, et al.
Publicado: (2020)