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 …

Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …

Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …

This Perspective focuses on the several overlaps between quantum algorithms and Monte
Carlo methods in the domains of physics and chemistry. We will analyze the challenges and …

Quantum enhanced optimization of classical cost functions is a central theme of quantum
computing due to its high potential value in science and technology. The variational …

One of the open challenges in quantum computing is to find meaningful and practical
methods to leverage quantum computation to accelerate classical machine-learning …

Simulating quantum dynamics beyond the reach of classical computers is one of the main
envisioned applications of quantum computers. The most promising quantum algorithms to …

The real-time simulation of large many-body quantum systems is a formidable task, that may
only be achievable with a genuine quantum computational platform. Currently, quantum …

Quantum batteries are predicted to have the potential to outperform their classical
counterparts and are therefore an important element in the development of quantum …

Preparing finite-temperature states in quantum simulators of spin systems, such as trapped
ions or Rydberg atoms in optical tweezers, is challenging due to their almost perfect …