Contains files for my reproduction of experiments from Harnik et al.'s "To Zip or not to Zip" (2013) paper.
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Updated
Feb 5, 2021 - Batchfile
Contains files for my reproduction of experiments from Harnik et al.'s "To Zip or not to Zip" (2013) paper.
Complete PyTorch reproduction of Google's TITANS, MIRAS, and NL neural memory papers. 52 tests, 87% coverage, Docker support.
implementing Quantum Bayes Classifiers (QBCs) for image classification tasks using MNIST and Fashion-MNIST datasets, based on the research by Ming-Ming Wang and Xiao-Ying Zhang. The project includes Naïve QBC, SPODE-QBC, TAN-QBC, and Symmetric-QBC, simulated on MindQuantum.
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