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Opis

This book investigates how quantum computers can be used for data-driven prediction. It summarizes and conceptualizes ideas that have been proposed in the discipline of quantum machine learning to provide a starting point for those new to the field, while serving as a reference for readers familiar with the topic. Given the interdisciplinary nature of the subject, the first chapters work through a simple but illustrative quantum machine learning algorithm and give a detailed overview of the parent disciplines. The book then presents core methods for the design of quantum machine learning algorithms with a focus on supervised learning. Amongst these methods are the representation of data by quantum states, quantum routines for inference and training, learning with quantum models, as well as near-term applications. The book contributes to research in quantum machine learning and targets an interdisciplinary audience of computer scientists and physicists from a graduate level onwards.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer science Artificial intelligence

• Pełny tytuł: Supervised Learning with Quantum Computers
• Autor: Maria Schuld, Francesco Petruccione
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 287
• EAN: 9783319964232
• ISBN: 3319964232
• ID: 19693948
• Wydawca: Springer International Publishing AG
• Waga: 576 g
• Wymiary: 164 × 242 × 26 mm
• Data wydania: 22. September 2018

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