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Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths
Research article (Quantum, 2023) · cited 37× · AI/ML
Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths
Summary
Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths is a scholarly article[1].
Key Facts
Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths's instance of is recorded as scholarly article[2].
References
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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). Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths. Retrieved May 24, 2026, from https://4ort.xyz/entity/warm-started-qaoa-with-custom-mixers-provably-converges-and-computationally-beats-goemans-williamson-amp-apos-s-max-cut-
MLA“Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/warm-started-qaoa-with-custom-mixers-provably-converges-and-computationally-beats-goemans-williamson-amp-apos-s-max-cut-.
BibTeX@misc{4ortxyz_warm-started-qaoa-with-custom-mixers-provably-converges-and-computationally-beats-goemans-williamson-amp-apos-s-max-cut-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths}}, year = {2026}, url = {https://4ort.xyz/entity/warm-started-qaoa-with-custom-mixers-provably-converges-and-computationally-beats-goemans-williamson-amp-apos-s-max-cut-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Warm-Started QAOA with Custom Mixers Provably Converges and Computationally Beats Goemans-Williamson's Max-Cut at Low Circuit Depths — https://4ort.xyz/entity/warm-started-qaoa-with-custom-mixers-provably-converges-and-computationally-beats-goemans-williamson-amp-apos-s-max-cut- (retrieved 2026-05-24)
