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 …

Results about entanglement (or modular) Hamiltonians of quantum many‐body systems in
field theory and statistical mechanics models, and recent applications in the context of …

The ability to engineer parallel, programmable operations between desired qubits within a
quantum processor is key for building scalable quantum information systems,. In most state …

Controllable, coherent many-body systems can provide insights into the fundamental
properties of quantum matter, enable the realization of new quantum phases and could …

Classifying phases of matter is key to our understanding of many problems in physics. For
quantum-mechanical systems in particular, the task can be daunting due to the …

Machine learning, one of today's most rapidly growing interdisciplinary fields, promises an
unprecedented perspective for solving intricate quantum many-body problems …

Nonstabilizerness, also colloquially referred to as magic, is a resource for advantage in
quantum computing and lies in the access to non-Clifford operations. Develo** a …

Strongly coupled gauge theories far from equilibrium may exhibit unique features that could
illuminate the physics of the early universe and of hadron and ion colliders. Studying real …

We present a scheme for measuring Rényi entropies in generic atomic Hubbard and spin
models using single copies of a quantum state and for partitions in arbitrary spatial …

The concept of space evolution (or space-time duality) has emerged as a promising
approach for studying quantum dynamics. The basic idea involves exchanging the roles of …