{"product_id":"quantum-machine-learning-with-python-using-cirq-from-google-research-and-ibm-qiskit-9781484265215","title":"Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit","description":"\u003cb\u003e\u003ci\u003eQuantum Machine Learning With Python\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e \u003cp\u003eChapter 1: Introduction to Quantum Mechanics and Quantum Computing\u003c\/p\u003e \u003cp\u003eChapter Goal: Introduce the concept of Quantum mechanics and Quantum computing to the readers\u003c\/p\u003e \u003cp\u003eNo of pages 50-60\u003c\/p\u003e \u003cp\u003eSub-Topics\u003c\/p\u003e \u003cp\u003e1. Introduction to Quantum computing \u003c\/p\u003e \u003cp\u003e2. Quantum bit and its realization\u003c\/p\u003e \u003cp\u003e3. Quantum superposition and Quantum entanglement \u003c\/p\u003e \u003cp\u003e4. Bloch Sphere representation of Qubit\u003c\/p\u003e \u003cp\u003e5. Stern Gerlach Experiment \u003c\/p\u003e \u003cp\u003e6. Bell State \u003c\/p\u003e \u003cp\u003e7. Dirac Notations\u003c\/p\u003e \u003cp\u003e8. Single Qubit Gates\u003c\/p\u003e \u003cp\u003e9. Multiple Qubit Gates\u003c\/p\u003e \u003cp\u003e10. Quantum No Cloning Theorem\u003c\/p\u003e \u003cp\u003e11. Measurement in different basis \u003c\/p\u003e \u003cp\u003e12. Quantum Teleportation \u003c\/p\u003e \u003cp\u003e13. Quantum parallelism with Deuth Jozsa\u003c\/p\u003e \u003cp\u003e14. Reversibility of quantum computing \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eChapter 2: Mathematical Foundations and Postulates of Quantum Computing\u003c\/p\u003e Chapter Goal: Lays the mathematical foundation along with the postulates of Quantum computing\u003cp\u003e\u003c\/p\u003e \u003cp\u003eNo of pages 50-60\u003c\/p\u003e \u003cp\u003eSub -Topics \u003c\/p\u003e 1. Topics from Linear algebra \u003cp\u003e\u003c\/p\u003e \u003cp\u003e2. Pauli Operators \u003c\/p\u003e \u003cp\u003e3. Linear Operators and their properties \u003c\/p\u003e \u003cp\u003e4. Hermitian Operators \u003c\/p\u003e \u003cp\u003e5. Normal Operators \u003c\/p\u003e \u003cp\u003e6. Unitary Operators \u003c\/p\u003e \u003cp\u003e7. Spectral Decomposition \u003c\/p\u003e \u003cp\u003e8. Linear Operators on Tensor Product of Vectors\u003c\/p\u003e \u003cp\u003e9. Exponential Operator\u003c\/p\u003e \u003cp\u003e10. Commutator Anti commutator Operator\u003c\/p\u003e \u003cp\u003e11. Postulates of Quantum Mechanics\u003c\/p\u003e \u003cp\u003e12. Measurement Operators\u003c\/p\u003e 13. Heisenberg Uncertainty Principle\u003cp\u003e\u003c\/p\u003e \u003cp\u003e14. Density Operators and Mixed States \u003c\/p\u003e \u003cp\u003e15. Solovay-Kitaev Theorem and Universality of Quantum gates\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e Chapter 3: Introduction to Quantum Algorithms \u003cp\u003e\u003c\/p\u003e \u003cp\u003eChapter Goal: Introduce to the readers Quantum algorithms to express the Quantum computing supremacy over classical computation\u003c\/p\u003e \u003cp\u003eNo of pages: 70-80\u003c\/p\u003e Sub - Topics: \u003cp\u003e\u003c\/p\u003e \u003cp\u003e1. Introduction to Cirq and Qiskit \u003c\/p\u003e 2. Bell State creation and measurement in Cirq and qiskit\u003cp\u003e\u003c\/p\u003e \u003cp\u003e3. Quantum teleportation Implementation \u003c\/p\u003e \u003cp\u003e4. Quantum Random Number generator \u003c\/p\u003e \u003cp\u003e5. Deutsch Jozsa Implementation \u003c\/p\u003e \u003cp\u003e8. Hadamard Sampling \u003c\/p\u003e \u003cp\u003e6. Bernstein Vajirani Algorithm Implementation\u003c\/p\u003e \u003cp\u003e7. Bell's Inequality Implementation\u003c\/p\u003e \u003cp\u003e8. Simon's Algorithm of secret string search Implementation\u003c\/p\u003e \u003cp\u003e9 Grover's Algorithm Implementation\u003c\/p\u003e \u003cp\u003e 10. Algorithmic complexity in Quantum and Classical computing paradigm \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eChapter 4: Quantum Fourier Transform Related Algorithms\u003c\/p\u003e \u003cp\u003eGoal: Introduce to the readers Quantum Fourier related algorithms\u003c\/p\u003e No of pages: 60-70\u003cp\u003e\u003c\/p\u003e \u003cp\u003eSub - Topics: \u003c\/p\u003e \u003cp\u003e1. Fourier Series \u003c\/p\u003e \u003cp\u003e2. Fourier Transform\u003c\/p\u003e 3. Discrete Fourier Transform\u003cp\u003e\u003c\/p\u003e \u003cp\u003e4. Quantum Fourier Transform(QFT)\u003c\/p\u003e \u003cp\u003e5. QFT implementation \u003c\/p\u003e 6. Hadamard Transform as Fourier Transform\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-11314542\"\u003eSantanu Pattanayak\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Apress\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/03\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 361\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.46lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.79d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781484265215\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1484265211\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM051390\"\u003eProgramming | Open Source\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/correctionsbookstore.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM004000\"\u003eArtificial Intelligence | General\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\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","brand":"Apress","offers":[{"title":"Default Title","offer_id":45876719354031,"sku":"9781484265215","price":54.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0651\/9255\/8767\/files\/img_c266c960-4912-4ddc-8406-6dcb7fa4db50.jpg?v=1757694509","url":"https:\/\/www.correctionsbookstore.com\/es\/products\/quantum-machine-learning-with-python-using-cirq-from-google-research-and-ibm-qiskit-9781484265215","provider":"Corrections Bookstore ","version":"1.0","type":"link"}