Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving and often expediting classical machine learning techniques.

Feb 3, 2025 · This tutorial intends to introduce readers with a background in AI to quantum machine learning (QML) -- a rapidly evolving field that seeks to leverage the power of quantum …

Jul 12, 2025 · Quantum machine learning (QML) is an interdisciplinary field that integrates quantum physics concepts with machine learning to produce algorithms that employ quantum …

6 days ago · Quantum machine learning (QML) has emerged as a captivating integration of two cutting-edge research domains: classical and quantum computing, along with machine …

May 23, 2025 · We explore the application of QML in various domains such as cybersecurity, finance, healthcare, and drug discovery. The survey includes detailed tabular comparisons of …

Sep 16, 2025 · Quantum machine learning uses algorithms run on quantum devices, such as quantum computers, to supplement, expedite, or support the work performed by a classical …

In this tutorial, each chapter provides a theoretical analysis of the learnability of QML models, focusing on key aspects such as expressivity, trainability, and generalization capabilities.

May 25, 2025 · Abstract Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning. It seeks to …

May 13, 2025 · TL;DR — Quantum Machine Learning (QML) uses qubits in superposition and entanglement to explore many patterns at once, promising faster drug discovery, smarter …

Jun 1, 2025 · Quantum Machine Learning (QML) is the emerging confluence of quantum computing and artificial intelligence that promises to solve computational problems …