Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …

Quantum information processing based on Rydberg atoms emerged as a promising
direction two decades ago. Recent experimental and theoretical progresses have shined …

Arrays of optically trapped atoms excited to Rydberg states have recently emerged as a
competitive physical platform for quantum simulation and computing, where high-fidelity …

Programmable quantum systems based on Rydberg atom arrays have recently been used
for hardware-efficient tests of quantum optimization algorithms [Ebadi et al., Science, 376 …

Optimization, sampling and machine learning are topics of broad interest that have inspired
significant developments and new approaches in quantum computing. One such approach …

One application of near-term quantum computing devices,,–is to solve combinatorial
optimization problems such as non-deterministic polynomial-time hard problems,,–. Here we …

We present Rydberg-atom-array experiments performed to find the maximum independent
sets of Platonic graphs. Three Platonic graphs—the tetrahedron, cube, and octahedron of …

Quantum spin models have been extensively used to study the properties of strongly
correlated systems and to find approximate solutions to combinatorial optimization …

We present a scalable architecture for solving higher-order constrained binary optimization
(HCBO) problems on current neutral-atom hardware operating in the Rydberg blockade …

Cold atoms in an optical cavity have been widely used for quantum simulations of many-
body physics, where the quantum control capability has been advancing rapidly in recent …