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Classification of the Fashion-MNIST Dataset on a Quantum Computer
The Fashion-MNIST dataset is a multiclass classification dataset. It contains 70,000 28x28 grayscale images, with 10 classes. -
Resource-Efficient Quantum Generative Diffusion Model
The Resource-Efficient Quantum Generative Diffusion Model (RE-QGDM) is a variant of the Quantum Generative Diffusion Model (QGDM) that minimizes the need for auxiliary qubits... -
Quantum Generative Diffusion Model
The Quantum Generative Diffusion Model (QGDM) is a fully quantum-mechanical model for generating quantum state ensembles, inspired by Denois-ing Diffusion Probabilistic Models.
