Quantum Machine Learning with Python

Santanu Pattanayak works as a staff machine learning specialist at Qualcomm Corp R&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.

“The rigor, the mathematical detail, and the inclusion of proofs are very important contributions … . the book is well written and easy to read. Concepts, ideas, and algorithms are very well illustrated with simple examples but then also explained in exquisite mathematical detail, followed by concise yet nicely explained codification in Cirq or Qiskit.” (Santiago Escobar, Computing Reviews, October 28, 2021)

• Chapter 1: Introduction to Quantum Mechanics and Quantum Computing.- Chapter 2:  Mathematical Foundations and Postulates of Quantum Computing.- Chapter 3: Introduction to Quantum Algorithms .- Chapter 4:  Quantum Fourier Transform Related Algorithms.- PART 2 Chapter 5: Introduction to Quantum Machine Learning .- Chapter 6: Quantum Deep Learning and Quantum Optimization Based Algorithms.- Chapter 7: Quantum Adiabatic Processes and Quantum based Optimization.