ReviewNature nanotechnology2026
How nanophotonics can drive optical computing toward practical applications.
Review in Nature nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The rapid advancement of artificial intelligence (AI) imposes unprecedented speed and energy requirements on large-scale computation. Owing to its intrinsic high bandwidth, massive parallelism capacity and low energy consumption, optical computing is widely regarded as one of the most promising technologies to address AI computation demands. Here we offer a synthesis of photonic platforms that have already shown programmability, high integration density and stability, and that can support large-scale AI models, edge computing, and logic and scientific computing. We summarize the requirements that optical computing imposes on nanomaterials properties, architecture design, nanofabrication and large-scale integration. Finally, we analyse commercial systems and provide a perspective on how nanotechnology-informed solutions can improve performance in terms of computing speed, scalability and complexity in optical computing.
Identifiers
42716996What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.