{'fraction_non_alphanumeric': 0.03319502074688797, 'fraction_numerical': 0.002074688796680498, 'mean_word_length': 6.430769230769231, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Optical Polynomial Vector Processing

Polynomial processing can be applied to a number of potential applications, including general nonlinear operations using the Volterra series, eigenvalue computations via solutions to polynomial characteristic equations, pattern recognition, and polynomial neural networks[1]. Since most of these applications use vector-valued inputs (i.e., multiple-variable inputs), an optical polynomial vector processor is investigated and implemented here.