Protocol learns k-local Lindbladians to ε accuracy with Õ(n^{2k}/ε²) samples and projects to valid generators; improves to log n under sparsity assumptions.
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Quantum capacity of 4D MAD channels is analyzed with a technique valid outside degradable regimes, and the complete degradability region is characterized for general d-dimensional MAD channels.
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Robust Structure Learning of $k$-local Lindbladians
Protocol learns k-local Lindbladians to ε accuracy with Õ(n^{2k}/ε²) samples and projects to valid generators; improves to log n under sparsity assumptions.
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Quantum capacity analysis of finite-dimensional lossy channels
Quantum capacity of 4D MAD channels is analyzed with a technique valid outside degradable regimes, and the complete degradability region is characterized for general d-dimensional MAD channels.