Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution. Retrieved May 24, 2026, from https://4ort.xyz/entity/tight-bounds-on-the-convergence-of-noisy-random-circuits-to-the-uniform-distribution
MLA“Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tight-bounds-on-the-convergence-of-noisy-random-circuits-to-the-uniform-distribution.
BibTeX@misc{4ortxyz_tight-bounds-on-the-convergence-of-noisy-random-circuits-to-the-uniform-distribution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution}}, year = {2026}, url = {https://4ort.xyz/entity/tight-bounds-on-the-convergence-of-noisy-random-circuits-to-the-uniform-distribution}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tight Bounds on the Convergence of Noisy Random Circuits to the Uniform Distribution — https://4ort.xyz/entity/tight-bounds-on-the-convergence-of-noisy-random-circuits-to-the-uniform-distribution (retrieved 2026-05-24)