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Learning finitely correlated states: stability of the spectral reconstruction
A refined error bound can be proven for $C^*$-finitely correlated states, which have an operational interpretation in terms of sequential quantum channels applied to the memory system.
Information-theoretic generalization bounds for learning from quantum data
Learning tasks play an increasingly prominent role in quantum information and computation.
Quantum Differential Privacy: An Information Theory Perspective
While classical computations are essentially noiseless and differential privacy is often achieved by artificially adding noise, near-term quantum computers are inherently noisy and it was observed that this leads to natural differential privacy as a feature.
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