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Found 4 papers, 2 papers with code
Learning quantum data with the quantum Earth Mover's distance
Quantifying how far the output of a learning algorithm is from its target is an essential task in machine learning.
Quantum Medical Imaging Algorithms
A central task in medical imaging is the reconstruction of an image or function from data collected by medical devices (e. g., CT, MRI, and PET scanners).
Image Reconstruction
Quantum Physics
Image and Video Processing
Medical Physics
Learning Unitaries by Gradient Descent
We study the hardness of learning unitary transformations in $U(d)$ via gradient descent on time parameters of alternating operator sequences.
Random deep neural networks are biased towards simple functions
We prove that the binary classifiers of bit strings generated by random wide deep neural networks with ReLU activation function are biased towards simple functions.
