- Extended recurrent convolutional neural networks (RCNN) for surface code quantum error correction
- Tuned RCNN model to achieve equivalent performance with less than 25% of original parameter count
- Quantized TensorFlow dense models with hls4ml for use in dedicated FPGAs, reducing load by 50%