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Improving the estimation of environment parameters via initial probe-environment correlations

Research article (Physical review. A/Physical review, A, 2021) · cited 23× · AI/ML
academia openalex:W3104420145
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Improving the estimation of environment parameters via initial probe-environment correlations

Summary

Improving the estimation of environment parameters via initial probe-environment correlations is a scholarly article[1].

Key Facts

  • Improving the estimation of environment parameters via initial probe-environment correlations's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Improving the estimation of environment parameters via initial probe-environment correlations. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-estimation-of-environment-parameters-via-initial-probe-environment-correlations
MLA “Improving the estimation of environment parameters via initial probe-environment correlations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-estimation-of-environment-parameters-via-initial-probe-environment-correlations.
BibTeX @misc{4ortxyz_improving-the-estimation-of-environment-parameters-via-initial-probe-environment-correlations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the estimation of environment parameters via initial probe-environment correlations}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-estimation-of-environment-parameters-via-initial-probe-environment-correlations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the estimation of environment parameters via initial probe-environment correlations — https://4ort.xyz/entity/improving-the-estimation-of-environment-parameters-via-initial-probe-environment-correlations (retrieved 2026-05-24)

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