machine-learning-for-physical-sciences - mlphys - version 3.2

Features: 1. Biased distributions of random quantum states 2. Standard distributions of quantum states 3. Inferences with pre-trained models 4. Measurements: random measurements (single measurement at a time) 5. Ideal measurements, measurements at the given shots -- NISQ, entangled states,

UPCOMING: Engineered random quantum states, maximum likelihood estimation, measuring directly on NISQ devices, more pre-trained models

- Jupyter Notebook
Published by slohani-ai over 4 years ago