Cargando…
Quantum Kernel Methods (hands-on on Quask)
<!--HTML--><h1>Abstract</h1> In this introduction to the foundations of quantum machine learning, we will dive into key concepts such as data encoding, feature map selection, and the comparison of different metrics for quantum kernel estimation. By the end of the session, students...
Autores principales: | Wixinger, Roman Luca, Di Marcantonio, Francesco |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2866465 |
Ejemplares similares
-
Basics of quantum computing (hands-on)
por: Chang, Su Yeon
Publicado: (2023) -
QuASK - Quantum Advantage Seeker with Kernels
por: Di Marcantonio, Francesco, et al.
Publicado: (2022) -
Applications of Quantum Computing: Quantum Machine Learning, Optimization and CERN use-cases
por: Rieger, Carla Sophie
Publicado: (2023) -
Basics of quantum computing (theory)
por: Barthe, Alice
Publicado: (2023) -
Lecture 11: Systemtap : Patching the linux kernel on the fly
por: Oulevey, Thomas
Publicado: (2013)