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20232026
most citedChannel Attention for Quantum Convolutional Neural Networks

4 citations · 4 across the 5 of their papers we have counts for

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quant-ph2025

Adaptive Interpolating Quantum Transform: A Quantum-Native Framework for Efficient Transform Learning

Gekko Budiutama, Shunsuke Daimon, Hirofumi Nishi +3

Machine learning on quantum computers has attracted attention for its potential to deliver computational speedups in different tasks. However, deep variational quantum circuits req…

cs.LG2025

General Transform: A Unified Framework for Adaptive Transform to Enhance Representations

Gekko Budiutama, Shunsuke Daimon, Hirofumi Nishi +1

Discrete transforms, such as the discrete Fourier transform, are widely used in machine learning to improve model performance by extracting meaningful features. However, with numer…