{"product_id":"quantum-machine-learning-with-python-using-cirq-from-google-research-and-ibm-qiskit-paperback","title":"Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit - Paperback","description":"\u003cp\u003eby \u003cb\u003eSantanu Pattanayak\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eQuickly 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.\u003cbr\u003eYou'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. \u003cbr\u003eYou'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 algorithms using the Qiskit toolkit from IBM and Cirq from Google Research.\u003cbr\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand Quantum computing and Quantum machine learning\u003c\/li\u003e\n\u003cli\u003eExplore varied domains and the scenarios where Quantum machine learning solutions can be applied\u003c\/li\u003e\n\u003cli\u003eDevelop expertise in algorithm development in varied Quantum computing frameworks\u003c\/li\u003e\n\u003cli\u003eReview the major challenges of building large scale Quantum computers and applying its various techniques\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eMachine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eQuickly 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.\u003cbr\u003eYou'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. \u003cbr\u003eYou'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 algorithms using the Qiskit toolkit from IBM and Cirq from Google Research.\u003cbr\u003eYou will: \u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand Quantum computing and Quantum machine learning\u003c\/li\u003e\n\u003cli\u003eExplore varied domains and the scenarios where Quantum machine learning solutions can be applied\u003c\/li\u003e\n\u003cli\u003eDevelop expertise in algorithm development in varied Quantum computing frameworks\u003c\/li\u003e\n\u003cli\u003eReview the major challenges of building large scale Quantum computers and applying its various techniques\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSantanu Pattanayak works as a staff machine learning specialist at Qualcomm Corp R\u0026amp;D and is an author of the book \"Pro Deep Learning with TensorFlow\" published by Apress. He has around 12 years of work experience and has worked at GE, Capgemini, and IBM before joining Qualcomm. He graduated with a degree in electrical engineering from Jadavpur University, Kolkata and is an avid math enthusiast. Santanu has a master's degree in data science from Indian Institute of Technology (IIT), Hyderabad. He also participates in Kaggle competitions in his spare time where he ranks in top 500. Currently, he resides in Bangalore with his wife.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 361\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.79 x 10 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 13, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42709242904639,"sku":"9781484265215","price":71.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/28fda35bed91abb9e5ee5e9a9dcc9089.webp?v=1765050708","url":"https:\/\/dhlswag.com\/products\/quantum-machine-learning-with-python-using-cirq-from-google-research-and-ibm-qiskit-paperback","provider":"BBB","version":"1.0","type":"link"}