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Systematically explore and compare quantum as well as pseudorandom initialization for artificial neural networks

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Castle-Machine-Learning/quantum-init-experiments

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Quantum-Initialization experiments

This repository contains source code to compare quantum and pseudorandom initialization of convolutional and recurrent neural networks.

To evaluate quantum random numbers, pseudorandom, and pseudo-quantum numbers for CNN initialization on MNIST run ./scripts/run_cnn_exps.sh.

Similarly for the rnn case run ./scripts/run_rnn_exps.sh .

The source code in this repository was developed and tested on Ubuntu 20.04 and Scientific Linux 7.9 using PyTorch 1.7.1 .

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Systematically explore and compare quantum as well as pseudorandom initialization for artificial neural networks

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