Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …

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 …

Discrete frequency modes, or bins, present a blend of opportunities and challenges for
photonic quantum information processing. Frequency-bin-encoded photons are readily …

Lattice gauge theories, which originated from particle physics in the context of Quantum
Chromodynamics (QCD), provide an important intellectual stimulus to further develop …

The vacuum of the lattice Schwinger model is prepared on up to 100 qubits of IBM's Eagle-
processor quantum computers. A new algorithm to prepare the ground state of a gapped …

In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …

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 …

Tracking the dynamics of physical systems in real time is a prime application of quantum
computers. Using a trapped-ion system with up to six qubits, we simulate the real-time …

Over the last decade, new developments in Similarity Renormalization Group techniques
and nuclear many-body methods have dramatically increased the capabilities of ab initio …

The great promise of quantum computers comes with the dual challenges of building them
and finding their useful applications. We argue that these two challenges should be …