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G. Saxena

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Open access Aug 2026

CC-Shield: A Unified Confidential ComputingFramework for Securing AI Model Training andInference

A seven-dimension qualitative comparison against fiveprior frameworks shows CC-Shield is the only approach satisfying data-in-use protection, computation integrity, training- and inference-time protection, quantum resistance, sub-15% latency overhead, and a formal security proofsimultaneously.

G. Saxena · 0 citations
Preprint Aug 2026

Stabilizer Statistical Mechanics: A Framework for Efficient Quantification and Classification of Magic States

The partition function is statistical mechanics'answer to an exponentially large spectrum, distilling it into a single analytic object whose temperature dependence resolves the full structure of the underlying ensemble. We show that magic, the resource separating universal quantum computation from classically simulable...

William E. Salazar, G. Saxena, Jack S Baker et al. · 3 citations · ⚡1

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