Representation Learning via Quantum Neural Tangent Kernels

• Published in: arXiv.org
• Main Authors: Liu, Junyu, Tacchino, Francesco, Glick, Jennifer R, Jiang, Liang, Mezzacapo, Antonio
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 13.11.2021
• Subjects: Circuit design; Cognitive tasks; Computer Science - Artificial Intelligence; Computer Science - Learning; Computer simulation; Kernels; Machine learning; Mathematical analysis; Neural networks; Optimization; Performance prediction; Perturbation; Physics - Quantum Physics; Statistics - Machine Learning; Training

Variational quantum circuits are used in quantum machine learning and variational quantum simulation tasks. Designing good variational circuits or predicting how well they perform for given learning or optimization tasks is still unclear. Here we discuss these problems, analyzing variational quantum...