Home › Entities › academia › Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise

Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise

Research article (ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023) · cited 20× · AI/ML
academia openalex:W4372259831
Press Enter · cited answer in seconds

Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise

Summary

Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise is a scholarly article[1].

Key Facts

  • Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise'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). Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. Retrieved May 24, 2026, from https://4ort.xyz/entity/certified-robustness-of-quantum-classifiers-against-adversarial-examples-through-quantum-noise
MLA “Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/certified-robustness-of-quantum-classifiers-against-adversarial-examples-through-quantum-noise.
BibTeX @misc{4ortxyz_certified-robustness-of-quantum-classifiers-against-adversarial-examples-through-quantum-noise_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise}}, year = {2026}, url = {https://4ort.xyz/entity/certified-robustness-of-quantum-classifiers-against-adversarial-examples-through-quantum-noise}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise — https://4ort.xyz/entity/certified-robustness-of-quantum-classifiers-against-adversarial-examples-through-quantum-noise (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/certified-robustness-of-quantum-classifiers-against-adversarial-examples-through-quantum-noise · Last refreshed: