High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs). Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via Mixed Matrix Ensemble Sampling (MMES) algorithm. Matrix utilities, spectral analysis, krylov and quantum core, spectral unfolding, nearest-neighbor spacing, mean adjacent gap ratio, analytic expressions from theory and uncertainty quantification.
Parallel random matrix tools and random matrix theory deep learning applications. Generate matrices from Circular Unitary Ensemble (CUE), Circular Ortogonal Ensemble (COE) and Circular Symplectic Ensemble (CSE). Additional spectral analysis utilities are also implemented, such as computation of spectral density and spectral ergodicity for complexity of deep learning architectures.
