Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

Research article (Intelligent Computing, 2024) · cited 22× · AI/ML
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Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

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Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/drastic-circuit-depth-reductions-with-preserved-adversarial-robustness-by-approximate-encoding-for-quantum-machine-learn
MLA “Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/drastic-circuit-depth-reductions-with-preserved-adversarial-robustness-by-approximate-encoding-for-quantum-machine-learn.
BibTeX @misc{4ortxyz_drastic-circuit-depth-reductions-with-preserved-adversarial-robustness-by-approximate-encoding-for-quantum-machine-learn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning}}, year = {2026}, url = {https://4ort.xyz/entity/drastic-circuit-depth-reductions-with-preserved-adversarial-robustness-by-approximate-encoding-for-quantum-machine-learn}, note = {Accessed: 2026-05-24}}
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