Quantum Machine Learning algorithms

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:algorithm
gptkbp:advantage	potential exponential speedup
gptkbp:appliesTo	quantum computers classical data
gptkbp:category	gptkb:reinforcement_learning supervised learning generative models unsupervised learning hybrid quantum-classical algorithms
gptkbp:challenge	decoherence error rates data encoding bottleneck limited qubit count noisy intermediate-scale quantum devices
gptkbp:enables	quantum speedup
gptkbp:field	Quantum Machine Learning
https://www.w3.org/2000/01/rdf-schema#label	Quantum Machine Learning algorithms
gptkbp:includes	gptkb:Variational_Quantum_Eigensolver Quantum Boltzmann Machine Quantum Clustering Quantum Generative Adversarial Network Quantum Neural Networks Quantum Principal Component Analysis Quantum Reinforcement Learning Quantum Support Vector Machine Quantum k-Means
gptkbp:notableContributor	gptkb:Seth_Lloyd Maria Schuld Nathan Wiebe Peter Wittek
gptkbp:proposedBy	early 2000s
gptkbp:publishedIn	gptkb:Nature gptkb:Physical_Review_Letters gptkb:arXiv
gptkbp:relatedTo	gptkb:machine_learning gptkb:quantum_computing
gptkbp:requires	quantum hardware quantum circuits quantum gates quantum data encoding
gptkbp:studiedBy	gptkb:Google gptkb:IBM gptkb:Microsoft academic institutions startups
gptkbp:usedFor	gptkb:dictionary optimization regression clustering dimensionality reduction
gptkbp:bfsParent	gptkb:Noisy_Intermediate-Scale_Quantum_(NISQ)_algorithm
gptkbp:bfsLayer	7