A research team from Rice University, IBM and USC combine compressed sensing, non-convex optimization and acceleration techniques to introduce a new algorithm — Momentum Inspired Factored Gradient Descent (MiFGD) — that pushes QST beyond current capabilities.

Here is a quick read: Rice University, IBM & USC Study Pushes Quantum State Tomography Beyond Current Computation Capabilities.

The paper Fast Quantum State Reconstruction via Accelerated Non-Convex Programming is on arXiv.



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