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 181-192 of 237
QuGAN: A Quantum State Fidelity based Generative Adversarial Network
Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu
Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features
The Quingo Development Team
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth Behrman
Rapid characterisation of linear-optical networks via PhaseLift
Daniel Suess, Nicola Maraviglia, Richard Kueng, Alexandre Maïnos, Chris Sparrow, Toshikazu Hashimoto, Nobuyuki Matsuda, David Gross, Anthony Laing
Realizing a quantum generative adversarial network using a programmable superconducting processor
Kaixuan Huang, Zheng-An Wang, Chao Song, Kai Xu, Hekang Li, Zhen Wang, Qiujiang Guo, Zixuan Song, Zhi-Bo Liu, Dongning Zheng, Dong-Ling Deng, H. Wang, Jian-Guo Tian, Heng Fan
Reinforcement Learning with Quantum Variational Circuits
Owen Lockwood, Mei Si
Residual Matrix Product State for Machine Learning
Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao Gao, Shi-Ju Ran
Resource prioritization and balancing for the quantum internet
Laszlo Gyongyosi, Sandor Imre
Reverse Annealing for Nonnegative/Binary Matrix Factorization
John Golden, Daniel O'Malley
Robust calibration of multiparameter sensors via machine learning at the single-photon level
Valeria Cimini, Emanuele Polino, Mauro Valeri, Ilaria Gianani, Nicolò Spagnolo, Giacomo Corrielli, Andrea Crespi, Roberto Osellame, Marco Barbieri, Fabio Sciarrino
Robust in Practice: Adversarial Attacks on Quantum Machine Learning
Haoran Liao, Ian Convy, William J. Huggins, K. Birgitta Whaley
Robustness Verification of Quantum Classifiers
Ji Guan, Wang Fang, Mingsheng Ying