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This paper is a wide‑ranging review of neutral‑atom quantum computing. In this approach, lasers hold individual neutral atoms in place and the atoms’ internal energy levels store quantum bits. The paper explains how researchers use highly excited “Rydberg” states — in which an electron orbits far from the nucleus — to make atoms interact strongly enough to perform quantum logic gates. It surveys the main technical routes, recent experimental milestones up through 2026, and the engineering challenges that remain.
The authors walk through the basic pieces of the platform. A common encoding uses hyperfine states of alkali atoms such as rubidium‑87 or cesium‑133 as the |0⟩ and |1⟩ states; these states can keep their quantum information for seconds, while gate operations happen on microsecond time scales. Some groups use alkaline‑earth atoms (for example strontium‑87 or ytterbium‑171) and exploit long‑lived “clock” states tied to the atom’s nuclear spin, which can give even longer coherence. Rydberg states are excited with two lasers in a two‑photon process; because Rydberg atoms are physically large and strongly polarizable, two atoms in Rydberg states can interact with strengths of tens of megahertz at distances of about 10 micrometers.
The review compares three mainstream hardware routes. Optical tweezer arrays use tightly focused laser beams (split and steered by acousto‑optic deflectors or spatial light modulators) to trap and move single atoms. Optical lattices form dense, regular arrays by interfering laser beams and are useful for very large, uniform arrays. Dipole‑trap arrays made with microlens optics sit between those two approaches. A typical experimental cycle described in the paper is: capture and cool atoms in a magneto‑optical trap (MOT), load them randomly into traps, image to see which sites are filled, rearrange atoms to remove holes, run quantum operations, and finally read out the results.
The paper also summarizes rapid progress up to 2026. It lists landmark achievements such as thousand‑qubit scale arrays and the first demonstrations of logical qubits and quantum error correction. Examples highlighted include an 1180‑qubit array reported in 2023, a first logical quantum processor in 2024, a 6100‑atom qubit array, continuous operation of a 3000‑qubit system, an 11,000‑atom array reported in 2026, quantum simulation of the Kitaev honeycomb model, toric‑code error‑correction experiments, encoding rates above one half, and proposed fault‑tolerant architectures. These milestones show the platform moving quickly from proof‑of‑principle studies toward larger, more error‑aware devices.
The authors are clear that important technical challenges remain. They identify a trade‑off between scalability and gate fidelity, and emphasize that engineering robust, mid‑circuit quantum error correction is still difficult. Other bottlenecks they name include atom loss and the need to refill losses during a computation, the industrial scaling of complex laser systems, scalable control electronics, and how to link distant neutral‑atom processors. The review aims to serve as a systematic reference for researchers and developers, while noting that many practical and engineering uncertainties must be resolved before fully fault‑tolerant neutral‑atom quantum computers are realized.