Books

Hands-On Quantum Machine Learning With Python

First Editions

You're interested in quantum computing and machine learning...
...But you don't know how to get started? Let me help!

Whether you just get started with quantum computing and machine learning or you're already a senior machine learning engineer, Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning — the use of quantum computing for the computation of machine learning algorithms.

The first editions of Volumes 1 + 2 are available now. These are more than 800 pages of content that will guide you through the basics of quantum computing and machine learning.

Volume 1: Getting Started

Volume 1 cover
  • Basic and advanced machine learning techniques
  • Quantum computing introduction
  • Parameterized quantum circuits
  • Variational hybrid quantum-classical algorithms
  • Lots of examples
This eBook is included in all annual subscriptions

Volume 2: Combinatorial Optimization

Volume 2 cover
  • The Variational Quantum Eigensolver (VQE)
  • Various solution ansatzes
  • Running algorithms on real quantum computers
  • Quantum error mitigation
  • The Quantum Approximate Optimization Algorithm (QAOA)
This eBook is included in the annual practitioner and researcher subscriptions.

Second Editions - Early Access

Since I published the first two volumes of Hands-On Quantum Machine Learning With Python in 2021 and 2022, the field of quantum machine learning has evolved significantly.

  • IBM released Qiskit 1.0 with major API changes. Because the book uses Qiskit extensively, many parts of the first editions require updates.
  • IBM also made their 100+ qubit quantum computers available to the public, enabling runs on real hardware that can’t be simulated classically.
  • Progress in error-correction and error-mitigation pushes us toward quantum utility: quantum computers become a viable alternative for certain tasks.

Volume 1: Quantum Advantage in Machine Learning

Second edition vol 1
  • Basics of Quantum Information
  • Quantum Bayesian Networks
  • Quantum Support Vector Machines
  • Grover's search algorithm
Coming soon...

Volume 2: Real World Applications

Second edition vol 2
  • Variational Quantum Eigensolver
  • Quantum Approximate Optimization Algorithm
  • Quantum Error Mitigation
  • Running circuits on real devices
Coming soon...

Volume 3: Predicting The Future

Second edition vol 3
  • Quantum Phase Estimation
  • Quantum Fourier Transform
  • Shor's algorithm
  • Quantum Principal Component Analysis
Coming soon...

Volume 4: Toward Artificial General Intelligence

Second edition vol 4
  • Pattern Recognition
  • Solution space search
  • Automated Reasoning
  • One-shot learning
Coming soon...