Quantum Machine Learning: Classifications, Challenges, and Solutions
W Lu, Y Lu, J Li, A Sigov, L Ratkin, LA Ivanov - Journal of Industrial …, 2024 - Elsevier
Recently, research at the intersection of quantum mechanics and machine learning has
gained attention. This interdisciplinary field aims to tackle the computational efficiency of …
gained attention. This interdisciplinary field aims to tackle the computational efficiency of …
Quantum Computing and Machine Learning on an Integrated Photonics Platform
H Zhu, H Lin, S Wu, W Luo, H Zhang, Y Zhan, X Wang… - Information, 2024 - mdpi.com
Integrated photonic chips leverage the recent developments in integrated circuit technology,
along with the control and manipulation of light signals, to realize the integration of multiple …
along with the control and manipulation of light signals, to realize the integration of multiple …
Enhancing Automobile Motion Planning Algorithms using Quantum Computing: A Systematic Review
M Ramasamy, B Jegan… - 2024 10th …, 2024 - ieeexplore.ieee.org
The emergence of autonomous vehicles has highlighted the need for advanced motion
planning algorithms capable of navigating diverse weather conditions efficiently and safely …
planning algorithms capable of navigating diverse weather conditions efficiently and safely …
[PDF][PDF] Quantum Computing and Machine Learning on an Integrated Photonics Platform. Information 2024, 15, 95
H Zhu, H Lin, S Wu, W Luo, H Zhang, Y Zhan, X Wang… - 2024 - inspirehep.net
Integrated photonic chips leverage the recent developments in integrated circuit technology,
along with the control and manipulation of light signals, to realize the integration of multiple …
along with the control and manipulation of light signals, to realize the integration of multiple …