14 citations · 21 across the 3 of their papers we have counts for
3 papers
quant-ph2023★ 1 cited
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…
quant-ph2023★ 6 cited
Quantum Computing Applications for Flight Trajectory Optimization
Henry Makhanov, Kanav Setia, Junyu Liu +2
Major players in the global aerospace industry are shifting their focus toward achieving net carbon-neutral operations by 2050. A considerable portion of the overall carbon emissio…
quant-ph2022★ 14 cited
Embedding Learning in Hybrid Quantum-Classical Neural Networks
Minzhao Liu, Junyu Liu, Rui Liu +4
Quantum embedding learning is an important step in the application of quantum machine learning to classical data. In this paper we propose a quantum few-shot embedding learning par…