Tag: Quantum ML & AI

Table of Contents Project Overview Objective and Problem Definition Tools and Environment Setup Dataset Selection and Preprocessing Feature Encoding Strategy Quantum Circuit Design Model Architecture (Hybrid Classical-Quantum) Training and Optimization Loop Evaluation Metrics...

Paper Title: "Quantum Machine Learning: A Classical Perspective" by Maria Schuld and Francesco Petruccione Source: arXiv:1803.07128 , 2018 Table of Contents Summary Motivation and Context Key Contributions Methodology Overview Theoretical Framework Quantum ML Architectures...

Table of Contents Introduction The Challenge of Scaling QML Role of Classical Systems in QML Classical Preprocessing for Quantum Input Classical Feature Selection and Dimensionality Reduction Hybrid Classical-Quantum Model Architectures Classical...

Table of Contents Introduction What Is Quantum AI? Ethical Frameworks and Existing AI Norms Unique Ethical Challenges of Quantum AI Interpretability and Explainability of QML Data Privacy in Quantum AI...

Table of Contents Introduction Why Industry Is Exploring QML QML in Finance QML in Pharmaceuticals and Healthcare QML in Manufacturing and Logistics QML in Cybersecurity QML in Energy and Materials Science QML...

Table of Contents Introduction Why Hosting Matters in Quantum ML Challenges in Hosting Quantum Models Types of Deployment Architectures Local Hosting vs Cloud Integration Containerization with Docker Building a REST API...

Table of Contents Introduction Vision and Use Case Definition Data Pipeline Setup Feature Engineering for Quantum Encoding Quantum Circuit Design Hybrid Model Architecture Training Strategy and Optimization Evaluation Metrics and Baseline Comparison Hardware...

Table of Contents Project Overview Motivation and Objectives Background and Literature Review Problem Statement Proposed Methodology Dataset Description and Preprocessing Quantum Circuit Design Classical-Quantum Hybrid Integration Model Training and Optimization Performance Evaluation Metrics Hardware and...

Table of Contents Introduction The Role of Recommendation Engines Classical Recommendation Techniques Why Quantum Machine Learning for Recommendation? Quantum Representations of Users and Items Quantum Feature Maps for Recommendation Variational Quantum...

Table of Contents Introduction Motivation for Structured QML Pipelines Comparison to Classical ML Workflows Key Components of a Quantum ML Pipeline Step 1: Data Collection and Preprocessing Step 2: Feature...

Table of Contents Introduction Why Model Compression Matters in QML Limitations of Large Quantum Models Types of Quantum Model Compression Circuit Pruning Techniques Gate Count Reduction and Depth Minimization Qubit Reduction...

Table of Contents Introduction Why Run QML on Real Quantum Hardware? Understanding NISQ Hardware Constraints Hardware Providers and Access Models QML-Friendly Devices: IBM, IonQ, Rigetti, OQC Circuit Depth, Qubit Count,...