Trapped ions offer long coherence times and high fidelity, programmable quantum
operations, making them a promising platform for quantum simulation of condensed matter …

Quantum computing aims at exploiting quantum phenomena to efficiently perform
computations that are unfeasible even for the most powerful classical supercomputers …

Non-Abelian topological order is a coveted state of matter with remarkable properties,
including quasiparticles that can remember the sequence in which they are exchanged …

Many-particle entanglement is a key resource for achieving the fundamental precision limits
of a quantum sensor. Optical atomic clocks, the current state of the art in frequency precision …

Midcircuit operations, such as qubit state measurement or reset, are central to many tasks in
quantum information science, including quantum computing, entanglement generation, and …

Atomic, molecular, and optical (AMO) physics has been at the forefront of the development of
quantum science while laying the foundation for modern technology. With the growing …

The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm
for solving optimization problems on quantum computers. However, the potential of QAOA to …

The promise of quantum computers hinges on the ability to scale to large system sizes, eg,
to run quantum computations consisting of more than 100 million operations fault-tolerantly …

Enhancing the precision of measurements by harnessing entanglement is a long-sought
goal in quantum metrology,. Yet attaining the best sensitivity allowed by quantum theory in …

Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency
constraints on the generation of intricate entangled states. In principle, these limitations can …