Representation Learning via Quantum Neural Tangent Kernels
Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo
Abstract
A quantum version of neural tangent kernel is developed to tackle the training dynamics of quantum machine learning and to help select appropriate variational quantum circuits targeted to specific problems.
Topics & Concepts
Representation (politics)TangentQuantumArtificial neural networkMathematicsPure mathematicsAlgebra over a fieldComputer scienceArtificial intelligencePhysicsQuantum mechanicsGeometryPoliticsPolitical scienceLawQuantum Computing Algorithms and ArchitectureNeural Networks and ApplicationsQuantum Information and Cryptography