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Springer - Supervised Learning with Quantum Computers

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Description

Explore the intersection of quantum computing and data science with this specialized text from Springer. Supervised Learning with Quantum Computers investigates how quantum systems can be utilized for data-driven prediction and decision making. This book serves as a foundational resource for computer scientists and physicists at the graduate level and above. Designed to support those entering this young discipline, the text provides a detailed introduction to the two parent fields. Readers can learn through a practical example of a quantum machine learning algorithm, making complex concepts more accessible. For those seeking deeper technical knowledge, the book moves into advanced topics such as data encoding into quantum states. Whether you are a researcher or a student, this volume offers a structured pathway to understanding the future of machine learning through quantum technology.

Key Features

Provides a detailed introduction to the parent disciplines of quantum computing and machine learning for a strong foundation.

Offers a practical starting point for newcomers by presenting a toy example of a quantum machine learning algorithm.

Tailored for an academic audience including graduate-level computer scientists and physicists.

Covers advanced technical topics such as the methods used for data encoding into quantum states.

Explores how quantum computers can be applied to enhance data-driven prediction and decision making processes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 January 2019
Listed Since
03 January 2019

Barcode

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