Titlebook: Machine Learning with Quantum Computers; Maria Schuld,Francesco Petruccione Book 2021Latest edition The Editor(s) (if applicable) and The

STRIA

https://doi.org/10.1007/978-3-030-83098-4Hidden Markov Models; Deep Belief Network; Grover Search; Hopfield Model; Artificial Neural Network; Qsam

排出

Aqueous-Humor

LEER

Variational Circuits as Machine Learning Models,We explain how parametrised quantum circuits—quantum algorithms that are popular in near-term quantum computing—can be used as machine learning models, and review techniques to analyse and train such quantum models in a deep-learning fashion, including measures of expressivity and trainability, as well as parameter-shift rules.

Conducive

Deadpan

978-3-030-83100-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

congenial

Machine Learning with Quantum Computers978-3-030-83098-4Series ISSN 2364-9054 Series E-ISSN 2364-9062

abstemious

2364-9054 me in the literature.Focuses on the developments in near-ter.This book offers an introduction into quantum machine learning research,?covering approaches that range from "near-term"?to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us under

MELD

頭盔