Quantum Processor Sampling Meets EEG Neural Representation
A new framework for randomized rounding in noisy quantum circuits converges with self-supervised EEG learning to unlock brain-computer interface scaling.
A quantum processor utilizing randomized rounding can now decode complex EEG signals by simulating the noisy, high-dimensional probability distributions of the human brain.
