Quantum Machine Learning
237 papers for year 2020
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 145-156 of 237
Quantum Computer Architecture From Non-Conventional Physical Simulation Up To Encryption Cracking, Machine Learning Application, And More
Hasan Abbas Al-Mohammed, Muhammed Samir Al-Ali, Mahdi Alkaeed
Quantum Computing: An Entanglement Measurement
Mayank Gupta, Manisha J Nene
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
Quantum Differentially Private Sparse Regression Learning
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
Quantum Discriminator for Binary Classification
Prasanna Date, Wyatt Smith
Quantum Dot Sensitized Solar Cells: A Promising Avenue for Next-Generation Energy Conversion
Pavani Surarapu, Janaki Rama Phanendra Kumar Ande, Aleena Varghese, Suman Reddy Mallipeddi, Dileep Reddy Goda, Sridhar Reddy Yerram, Swathi Kaluvakuri
Quantum ensemble of trained classifiers
Ismael C. S. Araujo, Adenilton J. da Silva
Quantum entanglement recognition
Jun Yong Khoo, Markus Heyl
Quantum exploration algorithms for multi-armed bandits
Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs
Quantum Fully Homomorphic Encryption by Integrating Pauli One-time Pad with Quaternions
Guangsheng Ma, Hongbo Li
Quantum Go Machine
Lu-Feng Qiao, Jun Gao, Zhi-Qiang Jiao, Zhe-Yong Zhang, Zhu Cao, Ruo-Jing Ren, Chao-Ni Zhang, Cheng-Qiu Hu, Xiao-Yun Xu, Hao Tang, Zhi-Hao Ma, Xian-Min Jin
Quantum Integer Programming (QuIP) 47-779: Lecture Notes
David E. Bernal, Sridhar Tayur, Davide Venturelli