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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Supervised Learning with Quantum Computers
• Author: Maria Schuld, Francesco Petruccione
• Language: English
• Binding: Hardback
• Number of pages: 287
• EAN: 9783319964232
• ISBN: 3319964232
• ID: 19693948
• Publisher: Springer International Publishing AG
• Weight: 576 g
• Dimensions: 164 × 242 × 26 mm
• Date of publishing: 22. September 2018

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