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Machine learning framework for quantum sampling of highly constrained, continuous optimization problems

Research article (Applied Physics Reviews, 2021) · cited 39× · AI/ML
CreativeWork academia

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5 properties
Instance of
scholarly article[2]
Publication date
December 1, 2021as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Published in
Applied Physics Reviewsas of 2026-09-23
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OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
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OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Title
Machine learning framework for quantum sampling of highly constrained, continuous optimization problemsas of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W3158500083as of 2026-09-23
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OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
DOI
10.1063/5.0060481as of 2026-09-23
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OpenAlex
Edition
20260923 · as of 2026-09-23
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not in the catalog
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4ort-mint · openalex:20260923 · version not recorded

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Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 6
Alexandra Boltasseva, Vladimir Shalaev, Alexander V. Kildishev, Blake A. Wilson, Sabre Kais, Zhaxylyk A. Kudyshev
← Author of 6
Alexandra Boltasseva, Vladimir Shalaev, Alexander V. Kildishev, Blake A. Wilson, Sabre Kais, Zhaxylyk A. Kudyshev
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Summary

Machine learning framework for quantum sampling of highly constrained, continuous optimization problems is a scholarly article[1].

Related Entities

Alexandra Boltasseva

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Machine learning framework for quantum sampling of highly constrained, continuous optimization problems. Retrieved October 20, 2026, from https://4ort.xyz/entity/machine-learning-framework-for-quantum-sampling-of-highly-constrained-continuous-optimization-problems
MLA “Machine learning framework for quantum sampling of highly constrained, continuous optimization problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/machine-learning-framework-for-quantum-sampling-of-highly-constrained-continuous-optimization-problems.
BibTeX @misc{4ortxyz_machine-learning-framework-for-quantum-sampling-of-highly-constrained-continuous-optimization-problems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning framework for quantum sampling of highly constrained, continuous optimization problems}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-framework-for-quantum-sampling-of-highly-constrained-continuous-optimization-problems}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning framework for quantum sampling of highly constrained, continuous optimization problems — https://4ort.xyz/entity/machine-learning-framework-for-quantum-sampling-of-highly-constrained-continuous-optimization-problems (retrieved 2026-10-20)

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