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 …

Simulating quantum many-body systems is a key application for emerging quantum
processors. While analog quantum simulation has already demonstrated quantum …

Suppressing errors is the central challenge for useful quantum computing, requiring
quantum error correction (QEC),,,–for large-scale processing. However, the overhead in the …

The ability to perform entangling quantum operations with low error rates in a scalable
fashion is a central element of useful quantum information processing. Neutral-atom arrays …

Gate-model quantum computers promise to solve currently intractable computational
problems if they can be operated at scale with long coherence times and high-fidelity logic …

Realizing quantum speedup for practically relevant, computationally hard problems is a
central challenge in quantum information science. Using Rydberg atom arrays with up to …

The development of scalable, high-fidelity qubits is a key challenge in quantum information
science. Neutral atom qubits have progressed rapidly in recent years, demonstrating …

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 …

Quantum low-density parity-check (qLDPC) codes can achieve high encoding rates and
good code distance scaling, potentially enabling low-overhead fault-tolerant quantum …

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