Home › Entities › academia › Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching

Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching

Research article (Scientific Reports, 2025) · cited 10× · AI/ML
academia openalex:W4407182887
Press Enter · cited answer in seconds

Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching

Summary

Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching is a scholarly article[1].

Key Facts

  • Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-quantum-neural-networks-show-strongly-reduced-need-for-free-parameters-in-entity-matching
MLA “Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-quantum-neural-networks-show-strongly-reduced-need-for-free-parameters-in-entity-matching.
BibTeX @misc{4ortxyz_hybrid-quantum-neural-networks-show-strongly-reduced-need-for-free-parameters-in-entity-matching_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-quantum-neural-networks-show-strongly-reduced-need-for-free-parameters-in-entity-matching}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching — https://4ort.xyz/entity/hybrid-quantum-neural-networks-show-strongly-reduced-need-for-free-parameters-in-entity-matching (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/hybrid-quantum-neural-networks-show-strongly-reduced-need-for-free-parameters-in-entity-matching · Last refreshed: