ArticleNature nanotechnology2025
Quantum-enabled microwave-to-optical transduction via silicon nanomechanics.
Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
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Who cites it
4 citing papers in PubMed.
- Microwave-to-optical transduction using magnon-exciton coupling.Nature materials · 2026Article
- A Hybrid Preprocessing Multi-Objective Surrogate Model for Thermal MEMS Actuators.Micromachines · 2026Article
- Observation of interface piezoelectricity in superconducting devices on silicon.Nature communications · 2025Article
- Intermodal microwave-to-optical transduction using silicon-on-sapphire optomechanical ring resonator.Science advances · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An interface between microwave and optical photons offers the potential to network remote superconducting quantum processors. To preserve fragile quantum states, a microwave-to-optical transducer must operate efficiently in the quantum-enabled regime by generating less than one photon of noise referred to its input. Here we achieve these criteria using an integrated electro-optomechanical device made from crystalline silicon. Our platform eliminates the need for heterogeneous integration with piezoelectric materials by utilizing electrostatic actuation of gigahertz-frequency nanomechanical oscillators. Leveraging the ultra-low mechanical dissipation in silicon, our microwave-to-optical transducers achieve below one photon of input-referred added noise (n
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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.