Pith. sign in

REVIEW 2 cited by

Logic Gates based on Interaction of Counterpropagating Light in Microresonators

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2004.13578 v1 pith:ATE2IPXQ submitted 2020-04-28 physics.optics physics.app-ph

classification physics.opticsphysics.app-ph
keywords logicopticallightall-opticalcircuitsconversioncounterpropagatingdevice
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

Optical logic has the potential to replace electronics with photonic circuits in applications for which optic-to-electronic conversion is impractical and for integrated all-optical circuits. Nonlinear optics in whispering gallery mode resonators provides low power, scalable methods to achieve optical logic. We demonstrate, for the first time, an all-optical, universal logic gate using counterpropagating light in which all signals have the same operating optical frequency. Such a device would make possible the routing of optical signals without the need for conversion into the electronic domain, thus reducing latency. The operating principle of the device is based on the Kerr interaction between counter-propagating beams in a whispering gallery mode resonator which induces a splitting between the resonance frequencies for the two propagating directions. Our gate uses a fused silica microrod resonator with a \textit{Q}-factor of $\SI{2e8}{}$. This method of optical logic gives a practical solution to the on-chip routing of light.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs

    cs.SE 2026-07 conditional novelty 6.0 of 10

    Athena beats LSI-based impact analysis by ~10% (mRR/mAP/HIT@10) by propagating transformer code embeddings over call and class-member dependence graphs.

  2. EnseSmells: Deep ensemble and programming language models for automated code smells detection

    cs.SE 2025-02 conditional novelty 5.0 of 10

    EnseSmells fuses code embeddings from pre-trained models with hand-crafted metrics and reports higher F1 and MCC than prior baselines on MLCQ for four code smells.

Pith tools