Chia-Ying Lin

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quant-ph2025

Shadow Tomography Against Adversaries

Maryam Aliakbarpour, Vladimir Braverman, Nai-Hui Chia +4

We study single-copy shadow tomography in the adversarial robust setting, where the goal is to learn the expectation values of $M$ observables $O_{1}, \dots, O_{M}$ with $ε$ …

quant-ph2025

Efficient Matrix Product State Learning in Logarithmic Depth

Chia-Ying Lin, Nai-Hui Chia, Shih-Han Hung

Learning the closest matrix product state (MPS) representation of a quantum state enables useful tools for quantum machine learning and analysis of complex quantum systems. In this…