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quant-ph2025
Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder
Javier Orduz, Pablo Rivas, Erich Baker
Quantum machine learning deals with leveraging quantum theory with classic machine learning algorithms. Current research efforts study the advantages of using quantum mechanics or…
quant-ph2024
A Modified Depolarization Approach for Efficient Quantum Machine Learning
Bikram Khanal, Pablo Rivas
Quantum Computing in the Noisy Intermediate-Scale Quantum (NISQ) era has shown promising applications in machine learning, optimization, and cryptography. Despite the progress, cha…