8 citations · 29 across the 48 of their papers we have counts for
3 papers · 2 filters
Quantum-Enhanced Support Vector Machine for Large-Scale Stellar Classification with GPU Acceleration
Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov +2
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM) approach for stellar classification, leveraging the power of quantum computing and GPU acce…
Learning Quantum Phase Estimation by Variational Quantum Circuits
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen
Quantum Phase Estimation (QPE) stands as a pivotal quantum computing subroutine that necessitates an inverse Quantum Fourier Transform (QFT). However, it is imperative to recognize…
Reinforcement Learning Quantum Local Search
Chen-Yu Liu, Hsi-Sheng Goan
Quantum Local Search (QLS) is a promising approach that employs small-scale quantum computers to tackle large combinatorial optimization problems through local search on quantum ha…