It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the
US decadal particle-physics community planning, and in fact until recently, this was not …

One of the most promising suggested applications of quantum computing is solving
classically intractable chemistry problems. This may help to answer unresolved questions …

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 …

Advances in isolating, controlling and entangling quantum systems are transforming what
was once a curious feature of quantum mechanics into a vehicle for disruptive scientific and …

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 …

Digital quantum computers provide a computational framework for solving the Schrödinger
equation for a variety of many‐particle systems. Quantum computing algorithms for the …

We present a quantum-classical algorithm to study the dynamics of the two-spatial-site
Schwinger model on IBM's quantum computers. Using rotational symmetries, total charge …

Quantum technology has grown out of quantum information theory and now provides a
valuable tool that researchers from numerous fields can add to their toolbox of research …

A dynamical quantum simulation of SU (2) non-Abelian gauge field theory on a digital
quantum computer is presented. This was enabled on current quantum hardware by …

Discoveries in quantum materials, which are characterized by the strongly quantum-
mechanical nature of electrons and atoms, have revealed exotic properties that arise from …