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quant-ph2026
Superspace Concentration and Adversarial Robustness in Quantum Algorithms
Eric Yocam, Christian Yocam, Varghese Vaidyan +3
We study superspace concentration as a quantum resource, formalized through the focus measure F(\r{ho}) = λ_max(\r{ho}_super) - the largest eigenvalue of the reduced superspace st…
quant-ph2024
Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities
Eric Yocam, Anthony Rizi, Mahesh Kamepalli +3
As quantum computing continues to advance, the development of quantum-secure neural networks is crucial to prevent adversarial attacks. This paper proposes three quantum-secure des…