Hands-On Quantum Machine Learning With Python Volume 1: Get Started

Description

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 — 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 Naïve Bayes Bayes' Theorem Gaussian Naïve 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 Computing… 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 Naïve 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?