Flow-Based Modeling Reconstructs Quantum States From Fewer Measurements

Researchers at the Massachusetts Institute of Technology, Stanford University, Tufts University, the University of California, Los Angeles, and Tsinghua University have developed QST-Flow, a new quantum state tomography framework that moves beyond traditional methods of modeling quantum information. QST-Flow represents data using “normalized, samplable neural densities” instead of a truncated density matrix, enabling more efficient processing of complex quantum states. The framework features two variants, QST-QFlow and QST-WFlow, which model the positive…