« Apprentissage automatique quantique » : différence entre les versions

Dernière version du 15 novembre 2024 à 11:08

INFORMATIQUE QUANTIQUE

Définition

Domaine de recherche interdisciplinaire qui traite de la combinaison de la physique quantique et de l'apprentissage automatique afin d'accélérer les algorithmes d'apprentissage automatique ou, à l'inverse, de répondre à des problèmes quantiques.

Français

apprentissage automatique quantique

Anglais

quantum machine learning

Sources

Source : Loria.fr

Source : Wikipedia Machine Learning

@@ Ligne 1 : / Ligne 1 : @@
-==en construction==
+==[[:Catégorie:Quantique| '''INFORMATIQUE QUANTIQUE''']]==
 == Définition ==
-XXXXXXXXX
+Domaine de recherche interdisciplinaire qui traite de la combinaison de la physique quantique et de l'[[apprentissage automatique]] afin d'accélérer les algorithmes d'apprentissage automatique ou, à l'inverse, de répondre à des problèmes quantiques.
 == Français ==
-''' XXXXXXXXX '''
+'''apprentissage automatique quantique'''
 == Anglais ==
-''' Quantum machine learning'''
+'''quantum machine learning'''
+==Sources==
+[https://www.loria.fr/fr/emplois/offre-de-these-2021-apprentissage-automatique-pour-detecter-les-deepfakes/  Source : Loria.fr ]
-Quantum machine learning is the integration of quantum algorithms within machine learning programs.[1][2][3][4][5][6] The most common use of the term refers to machine learning algorithms for the analysis of classical data executed on a quantum computer, i.e. quantum-enhanced machine learning.[7][8][9][10] While machine learning algorithms are used to compute immense quantities of data, quantum machine learning utilizes qubits and quantum operations or specialized quantum systems to improve computational speed and data storage done by algorithms in a program.[11] This includes hybrid methods that involve both classical and quantum processing, where computationally difficult subroutines are outsourced to a quantum device.[12][13][14] These routines can be more complex in nature and executed faster on a quantum computer.[2] Furthermore, quantum algorithms can be used to analyze quantum states instead of classical data.[15][16] Beyond quantum computing, the term "quantum machine learning" is also associated with classical machine learning methods applied to data generated from quantum experiments (i.e. machine learning of quantum systems), such as learning the phase transitions of a quantum system[17][18] or creating new quantum experiments.[19][20][21][22] Quantum machine learning also extends to a branch of research that explores methodological and structural similarities between certain physical systems and learning systems, in particular neural networks. For example, some mathematical and numerical techniques from quantum physics are applicable to classical deep learning and vice versa.[23][24][25] Furthermore, researchers investigate more abstract notions of learning theory with respect to quantum information, sometimes referred to as "quantum learning theory".[26][27]
+[https://en.wikipedia.org/wiki/Quantum_machine_learning  Source : Wikipedia  Machine Learning ]
+{{Modèle:Quantique}}
-<small>
+[[Catégorie:Quantique]]
-[https://en.wikipedia.org/wiki/Quantum_machine_learning  Source : Wikipedia  Machine Learning ]
-[[Catégorie:vocabulary]]
-[[Catégorie:Wikipedia-IA‎]]

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