A blockwise matrix-sensing measurement design recovers low-rank quantum channels and Lindbladians with near-optimal sample counts and large computational speedups.
Normalized iterative hard thresholding: Guaranteed stability and performance
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A Unified Blockwise Measurement Design for Learning Quantum Channels and Lindbladians via Low-Rank Matrix Sensing
A blockwise matrix-sensing measurement design recovers low-rank quantum channels and Lindbladians with near-optimal sample counts and large computational speedups.