Flow-Based Modeling Reconstructs Quantum States From Fewer Measurements
Researchers at MIT demonstrated a technique using flow-based generative models to reconstruct quantum states with significantly fewer measurements than standard quantum state tomography. The method learns the underlying probability distribution of measurement outcomes, enabling accurate state characterization from limited data.
This technique could reduce the measurement overhead for calibrating and benchmarking near-term quantum processors, accelerating device characterization cycles.