Quantum vision transformer is a quantum-classical hybrid model that accelerates the vision transformer with quantum computing.

Qtransformer works on Linux, Windows and macOS. It requires Python 3.7+, CUDA 10.2+ and PyTorch 1.8+.

Step 1. Create a conda environment and activate it.

conda create --name openmmlab python=3.8 -y
conda activate openmmlab

Step 2. Install PyTorch following official instructions, e.g. On GPU platforms:

conda install pytorch torchvision -c pytorch

On CPU platforms:

conda install pytorch torchvision cpuonly -c pytorch

Step 3. Install qtransformer developed by mmpretrain

git clone https://github.com/itachixc/qtransformer.git
cd qtransformer
pip install -U openmim && mim install -e .

python demo/image_demo.py demo/demo.JPEG resnet18_8xb32_in1k --device cpu

python tools/trains.py qtransformer_configs/vit_config_cifar10.py