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.
Tutorial series on quantum error mitigation: noise fingerprints, readout mitigation, and zero noise extrapolation.
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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