AMO Research Review Archive

A dated review answers a historical question: what had been measured, calculated, or proposed by a particular time? Its conclusions can remain useful after a numerical record changes, provided the date and assumptions stay visible. This page helps you find AMO assessments and compare results from different periods.

For the broader annual context, start with the 2026 research map. That map is selective and has its own review date; it is not a complete year-end survey. Individual topic pages give the dates and sources relevant to their conclusions.

Required background. Frontiers and open problems connects the AMO topics. Review freshness explains what review dates mean; corrections describes how material errors should be addressed.

2026 AMO Frontier Map

The earlier review on this route was identified as amo-frontiers-2026-07-26, with a literature cutoff of 26 July 2026. It covered the ten subjects below. This reading guide was revised on 14 October 2026; its revision date does not extend that earlier cutoff. The original text is preserved in repository history.

Use the physical-background links to learn the models. Use the research links for dated experiments, open questions, and source-specific limitations.

Clocks and precision measurement

Precision AMO explains how phases, response functions, and uncertainties connect a sensor to a physical parameter. Optical clocks adds frequency ratios, clock shifts, and relativistic comparisons.

The corresponding research assessments are precision AMO tests and atomic clock frontiers. A clock’s instability, a systematic uncertainty, and a limit on a new interaction are different quantities; preserve which one was reported when comparing years.

Cold molecules and atomic arrays

Cold molecules relates state preparation, dipolar interactions, collisions, and conditional measurements. Rydberg arrays explains blockade, interaction graphs, errors, and erasures.

Read ultracold-molecule frontiers and Rydberg-array frontiers for the dated assessments. An array size, a two-particle entanglement result, and a logical operation describe different capabilities.

Quantum simulation

Ultracold-atom simulation connects lattice Hamiltonians, temperatures, images, and dynamical observables. Analog quantum simulation develops the research questions and comparisons.

When reading an older phase claim, retain the temperature, system size, observable, and comparison model. Strong correlations in a finite sample need not imply thermodynamic long-range order.

Optical processing and light–matter interfaces

Quantum optics explains photon quality, heralding, squeezing, and random network waiting times. Cavity and circuit QED connects coupling rates to conversion and storage.

Their dated assessments are quantum-optics frontiers and cavity/circuit-QED frontiers. Keep conditional fidelity alongside success probability. A better surviving state can come with fewer successful trials.

Ultrafast dynamics and molecular control

Attosecond and ultrafast physics connects time-dependent measurements to inferred electron dynamics. Molecular control develops how prepared states and fields influence outcomes.

Use attosecond frontiers and molecular-control frontiers for dated questions. A reconstructed time, an optimized signal, and a product-resolved reaction probability are different results.

Fundamental symmetries

Fundamental symmetry tests explains the connection between measured frequency shifts and symmetry violating parameters. Precision AMO tests discusses the research setting.

A null result constrains a model under stated assumptions. It is not a demonstration that every possible symmetry-violating interaction is absent. Later theory can change a parameter interpretation without changing the original experimental data.

Dates describe different stages of a result

A manuscript may first appear as a preprint, then be revised, accepted, and published. A later correction can alter a sign, number, or conclusion. These stages should not be collapsed into a single date.

For example, a July review can correctly describe a manuscript as a preprint even if it becomes a journal article in October. That publication does not make the July description an error. Conversely, if a correction already existed in June and the July review missed it, the older account needs correction.

A page’s review date is a date of checking, not necessarily the date of the newest experiment. Nor does a recent date guarantee that every paper on a topic was included. Follow the source for the specific measurement or calculation you need.

Compare the same physical quantity

Suppose two photon interfaces report conditional fidelities of $0.99$ and $0.97$. Those values alone do not determine which produces more useful entanglement. One interface might accept one trial in a thousand while the other accepts one in ten; their cycle times and memory losses may also differ.

Similarly, a logical memory’s longer fitted lifetime does not by itself show better performance at every storage time. Encoding and decoding can impose an initial cost. Sivak et al. (2023) provides a concrete experimental study of repeated bosonic error correction and a stated physical comparison. The cavity/circuit bridge works through a simple crossover calculation.

Useful historical comparisons preserve the measured quantity, operating conditions, uncertainty, and conditioning rule. If those change, explain the physical difference before ranking the numbers.

Repeating a calculation and repeating an experiment

Running the same analysis on the same input data tests computational reproducibility. A separate experiment tests whether a result recurs with new data and independently controlled conditions. The National Academies (2019) distinguishes these questions and explains why both matter.

They address different possible errors. Two calculations can agree while sharing the same omitted physical term. A larger data set can reduce statistical uncertainty while retaining a calibration bias. An independent apparatus can expose that bias, but it may also probe a different parameter combination. “Repeated” is most informative when the object being repeated is named.

Exercises

1. A later paper or a correction?

A July review discusses a June preprint. In October the article is published with an improved uncertainty. Separately, a sign error in an equation already printed in June is discovered. How should a reader interpret the two changes?

Solution

The October publication and improved analysis are later developments. Keep the June version distinct when describing what was available in July. The sign error is a correction to that earlier equation, so it should be identified when the old result is used. A publication update and a mathematical correction can occur in the same paper without being the same kind of change.

2. Is a better fidelity enough?

Two heralded interfaces operate at $1000$ attempts per second. Their success probabilities are $0.001$ and $0.1$, with conditional fidelities $0.99$ and $0.97$. Find their accepted-event rates. Can one rank them for every possible application?

Solution

Their accepted rates are $1\,\mathrm{s}^{-1}$ and $100\,\mathrm{s}^{-1}$. There is no task-independent ranking. An application with a stringent fidelity requirement may reject the second state; another may benefit more from its higher rate. Memory duration, error correction, and how errors accumulate determine the useful comparison. Fidelity is a state overlap, not generally a literal probability that an event contains no error, so multiplying the rate by fidelity does not produce a universal “correct-event rate.”

References

• National Academies of Sciences, Engineering, and Medicine. Reproducibility and Replicability in Science. National Academies Press (2019). DOI: 10.17226/25303.
• Sivak, V. V., et al. “Real-Time Quantum Error Correction beyond Break-Even.” Nature 616, 50–55 (2023). DOI: 10.1038/s41586-023-05782-6.