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Titlebook: Quantum Machine Learning with Python; Using Cirq from Goog Santanu Pattanayak Book 2021 Santanu Pattanayak 2021 Quantum Computing.Machine L

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發(fā)表于 2025-3-21 19:39:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Quantum Machine Learning with Python
副標(biāo)題Using Cirq from Goog
編輯Santanu Pattanayak
視頻videohttp://file.papertrans.cn/782/781271/781271.mp4
概述Covers theoretical and mathematical foundations of Quantum computing and Quantum machine learning..Covers different problems in varied domains that can be potentially solved through Quantum machine le
圖書封面Titlebook: Quantum Machine Learning with Python; Using Cirq from Goog Santanu Pattanayak Book 2021 Santanu Pattanayak 2021 Quantum Computing.Machine L
描述Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in forecasting, financial modeling, genomics, cybersecurity, supply chain logistics, cryptography among others..You‘ll start by reviewing the fundamental concepts of Quantum Computing, such as Dirac Notations, Qubits, and Bell state, followed by postulates and mathematical foundations of Quantum Computing. Once the foundation?base is set, you‘ll delve deep into Quantum based algorithms including Quantum Fourier?transform, phase estimation, and HHL (Harrow-Hassidim-Lloyd) among others.?.You‘ll then be introduced to Quantum machine learning and Quantum deep learning-based algorithms, along with advanced topics of Quantum adiabatic processes and Quantum based optimization. Throughout the book, there are Python implementations of different Quantum machine learning and Quantum computing a
出版日期Book 2021
關(guān)鍵詞Quantum Computing; Machine Learning; Quantum Mechanics; Quantum Algorithms; Quantum Machine Learning; Qua
版次1
doihttps://doi.org/10.1007/978-1-4842-6522-2
isbn_softcover978-1-4842-6521-5
isbn_ebook978-1-4842-6522-2
copyrightSantanu Pattanayak 2021
The information of publication is updating

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Introduction to Quantum Algorithms,imulations of quantum systems. Quantum computing works on the laws of quantum mechanical properties such as superposition, entanglement, and interference. Unlike in classical computing, in quantum computers a register can exist in all possible states at once due to its superposition properties. It i
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Quantum Machine Learning,learning have seen great success in recent years because of the increase in the computational power at our disposal and because of the high-end research in these fields. Quantum machine learning presents an exciting opportunity to increase the computational efficiency of the existing machine learnin
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ns that can be potentially solved through Quantum machine leQuickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which le
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