The power of quantum computing technologies is based on the fundamentals of quantum
mechanics, such as quantum superposition, quantum entanglement, or the no-cloning …

Quantum simulations consist in the intentional reproduction of physical or unphysical
models into another more controllable quantum system. Beyond establishing …

Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

Variational quantum algorithms have been proposed to solve static and dynamic problems
of closed many-body quantum systems. Here we investigate variational quantum simulation …

Electron transport in realistic physical and chemical systems often involves the nontrivial
exchange of energy with a large environment, requiring the definition and treatment of open …

Lately, much attention has been given to quantum algorithms that solve pattern recognition
tasks in machine learning. Many of these quantum machine learning algorithms try to …

Accurate simulation of the time evolution of a quantum system under the influence of an
environment is critical to making accurate predictions in chemistry, condensed-matter …

Digital quantum computing paradigm offers highly desirable features such as universality,
scalability, and quantum error correction. However, physical resource requirements to …

Realizing nonunitary transformations on unitary-gate-based quantum devices is critically
important for simulating a variety of physical problems, including open quantum systems and …

The theory of open quantum systems has many applications ranging from simulating
quantum dynamics in condensed phases to better understanding quantum-enabled …