Pattanayak, Santanu
Quantum Machine Learning - with Python: Using Cirq - from Google Research and - IBM Qiskit
- ISBN 13:
- 9781484265215
- author:
- Pattanayak, Santanu
- format:
- Paperback
- publisher:
- Apress
- language:
- English
- Publication Year:
- 2021
- Pages:
- 361
- Dimensions:
- 25.4 x 17.8 x 2 centimetres (0.3
- Genre:
- Professional & Vocational, Computers, General,
- Condition:
- New
- Availability:
- Item usually sent within 20 working days
Description
Learn to harness the power of quantum computing and machine learning with Python using Cirq from Google Research and IBM Qiskit.
This comprehensive guide covers the fundamental concepts of quantum computing, including Dirac Notations, qubits, and Bell states, as well as postulates and mathematical foundations. You'll then explore a range of quantum-based algorithms, including Quantum Fourier transform, phase estimation, and HHL, before delving into quantum machine learning and deep learning-based algorithms.
Throughout the book, you'll find Python implementations of various quantum machine learning and computing algorithms using Qiskit and Cirq. This practical approach will help you develop expertise in algorithm development for varied quantum computing frameworks.
Related Products
Related Products
Qiskit Pocket Guide: Quantum Development with Qiskit
Weaver, James L
Learn Quantum Computing with Python and IBM Quantum - Second Edition: Write your own practical quantum programs with Python
Loredo, Robert
Learn Quantum Computing with Python and IBM Quantum Experience: A hands-on introduction to quantum computing and writing your own quantum programs with Python
Loredo, Robert
Machine Learning with Python: A Practical Beginners' Guide (Machine Learning with Python for Beginners)
Theobald, Oliver
Python Machine Learning by Example
Yuxi