Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …

Despite the scientific and engineering challenges facing the development of quantum
computers, considerable progress is being made toward applying the technology to …

Quantum information is a promising new paradigm for fast computations that can provide
substantial speedups for many algorithms we use today. Among them, quantum machine …

Encouraged by growing computing power and algorithmic development, machine learning
technologies have become powerful tools for a wide variety of application areas, spanning …

Abstract Machine learning has been used in high energy physics (HEP) for a long time,
primarily at the analysis level with supervised classification. Quantum computing was …

Quantum computing is a new computational paradigm that promises applications in several
fields, including machine learning. In the last decade, deep learning, and in particular …

Support vector machine (SVM) is a particularly powerful and flexible supervised learning
model that analyzes data for both classification and regression, whose usual algorithm …