Rice University, IBM & USC Study Pushes Quantum State Tomography Beyond Current Computation Capabilities | Synced
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 ...
Source: Synced | AI Technology & Industry Review
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.