Machine learning (ML) has found broad applicability in quantum informati...
Atmospheric effects, such as turbulence and background thermal noise, in...
We introduce an approach for performing quantum state reconstruction on
...
We propose a series of data-centric heuristics for improving the perform...
We consider the properties of a specific distribution of mixed quantum s...
We determine the resource scaling of machine learning-based quantum stat...
Two-qubit systems typically employ 36 projective measurements for
high-f...
We build a general quantum state tomography framework that makes use of
...