The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
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Updated
Dec 7, 2020 - Python
The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".
QECops is a lightweight, open-source Monte Carlo simulation framework for studying how noise assumptions influence logical error behavior in quantum error correction (QEC). The question it seeks to answer is: How sensitive are QEC performance conclusions to the choice of noise model assumptions?
MedLesSynth-LD : Lesion Synthesis using Physics-Based Noise Models for Robust Lesion Segmentation in Low-Data Medical Imaging Regimes
In this project we will train stable diffusion model on CIFAR10 dataset and then try to generate images form ten different classes.
Simulating 3-qubit Bit-Flip, Phase-Flip, and 9-qubit Shor error correction codes under Depolarizing and Amplitude Damping noise using Qiskit. Pseudo-threshold analysis and comparison with analytical scaling laws
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