Machine Learning with Quantum Computers

使用量子计算机进行机器学习 第2版

理论物理学

售   价:
985.00
发货周期:预计8-10周发货
出  版 社
出版时间
2021年11月05日
装      帧
精装
ISBN
9783030830977
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页      码
324
语      种
英文
版      次
0002,2021
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图书简介
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 understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.
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