# Image Compression and Classification Using Qubits and Quantum Deep Learning

@article{Mohsen2021ImageCA, title={Image Compression and Classification Using Qubits and Quantum Deep Learning}, author={Ali Mohsen and Mo Tiwari}, journal={ArXiv}, year={2021}, volume={abs/2110.05476} }

Recent work suggests that quantum machine learning techniques can be used for classical image classification by encoding the images in quantum states and using a quantum neural network for inference. However, such work has been restricted to very small input images, at most 4 × 4, that are unrealistic and cannot even be accurately labeled by humans. The primary difficulties in using larger input images is that hitherto-proposed encoding schemes necessitate more qubits than are physically…

## 2 Citations

Quantum Image Representation Methods Using Qutrits

- Physics
- 2022

– Quantum Image Processing (QIP) is a recent highlight in the Quantum Computing ﬁeld. All previous methods for representing the images as quantum states were deﬁned using qubits. One Quantum Image…

Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning

- Computer Science
- 2021

This work empirically shows that quantum kernel matrices can be extended to incorporate new data using a classical (chordal-graph-based) matrix completion algorithm and the error of the completion degrades gracefully in the presence of finite-sampling noise.

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