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

Quantum computers offer an intriguing path for a paradigmatic change of computing in the
natural sciences and beyond, with the potential for achieving a so-called quantum …

Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …

Abstract Machine learning algorithms based on parametrized quantum circuits are prime
candidates for near-term applications on noisy quantum computers. In this direction, various …

Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

Abstract Kernel methods in Quantum Machine Learning (QML) have recently gained
significant attention as a potential candidate for achieving a quantum advantage in data …

Quantum machine learning (QML) has been identified as one of the key fields that could
reap advantages from near-term quantum devices, next to optimization and quantum …

Abstract Variational Quantum Algorithms (VQAs) and Quantum Machine Learning (QML)
models train a parametrized quantum circuit to solve a given learning task. The success of …

Transitioning from fossil fuels to renewable sources and develo** sustainable energy
materials for energy production and storage are critical factors in achieving climate …