000			02523nam a22002297a 4500
005			20260306110207.0
008			260306b |||||||| |||| 00| 0 eng d
020			_a9781484284520
028			_a: Savera Book Distributors _b: 4754 Akarshan Bhawaqn, 23 Ansari Road, Darya Ganj, New Delhi _c: 25-26/CRB/1090 _d: 02/03/2026
082			_a006.31 PAT
100			_aPattanayak, Santanu.
245			_aQuantum Machine Learning With Python _b: Using Cirq from Google Research and IBM Qiskit . _c/Santanu Pattanayak.
260			_a, Bangalore _b: Apress _c, 2021.
300			_axix, 361p. _c: 26cm.
365			_b26cm.
520			_aQuickly 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 algorithms using the Qiskit toolkit from IBM and Cirq from Google Research. What You'll LearnUnderstand Quantum computing and Quantum machine learningExplore varied domains and the scenarios where Quantum machine learning solutions can be appliedDevelop expertise in algorithm development in varied Quantum computing frameworksReview the major challenges of building large scale Quantum computers and applying its various techniquesWho This Book Is ForMachine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning
650			_aPython
650			_aMachine Learning
650			_aQuantum Machine Learning
700			_aSantanu Pattanayak.
942			_cBOOK
999			_c67128 _d67128