Introduction
Who This Book Is For
Book Organization
Why Should I Bother With Quantum Machine Learning?
Quantum Machine Learning - Beyond The Hype
What is Machine Learning?
What is Quantum Computing?
How Does Machine Learning Work?
What Tasks Are Quantum Computers Good At?
The Case For Quantum Machine Learning
Quantum Machine Learning In The NISQ Era
I learned Quantum Machine Learning The Hard Way
Quantum Machine Learning Is Taught The Wrong Way
Configuring Your Quantum Machine Learning Workstation
Python
Jupyter
Libraries and Packages
Virtual Environment
Configuring Ubuntu For Quantum Machine Learning with Python
How To Setup JupyterLab For Quantum Computing β On Windows
Binary Classification
Predicting Survival On The Titanic
Get the Dataset
Look at the data
Data Preparation and Cleaning
Missing Values
Identifiers
Handling Text and Categorical Attributes
Feature Scaling
Training and Testing
Baseline
Classifier Evaluation and Measures
Unmask the Hypocrite Classifier
Qubit and Quantum States
Exploring the Quantum States
Visual Exploration Of The Qubit State
Bypassing The Normalization
Exploring The Observer Effect
Parameterized Quantum Circuit
Variational Hybrid Quantum-Classical Algorithm
Probabilistic Binary Classifier
Towards NaΓ―ve Bayes
Bayes' Theorem
Gaussian NaΓ―ve Bayes
Working with Qubits
You Don't Need To Be A Mathematician
Quantumic Math - Are You Ready For The Red Pill?
If You Want To Gamble With Quantum Computingβ¦
Working With Multiple Qubits
Hands-On Introduction To Quantum Entanglement
The Equation Einstein Could Not Believe
Single Qubit Superposition
Quantum Transformation Matrices
Transforming Single Qubits
Two-Qubit States
Two-Qubit Transformations
Entanglement
Quantum Programming For Non-mathematicians
Representing a marginal probability
Calculate the joint probability
Calculate the conditional probability
Quantum NaΓ―ve Bayes
Pre-processing
PQC
Post-Processing
Quantum Computing Is Different
The No-Cloning Theorem
How To Solve A Problem With Quantum Computing
The Quantum Oracle Demystified
Quantum Bayesian Networks
Bayesian Networks
Composing Quantum Computing Controls
Circuit implementation
Bayesian Inference
Learning Hidden Variables
Estimating A Single Data Point
Estimating A Variable
Predict Survival
The World Is Not A Disk
The Qubit Phase
Visualize The Invisible Qubit Phase
The Z-gate
Multi-Qubit Phase
Controlled Z-gate
Phase Kickback
Quantum Amplitudes and Probabilities
Working With The Qubit Phase
The Intuition Of Grover's Algorithm
Basic Amplitude Amplification
Two-Qubit Amplification
Search For The Relatives
Turning the Problem into a Circuit
Multiple Results
Sampling
Forward Sampling
Bayesian Rejection Sampling
Quantum Rejection Sampling
What's Next?