Quantum Machine Learning
3,957 papers
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 3685-3696 of 3,957
Deep Neural Network Probabilistic Decoder for Stabilizer Codes.
Krastanov S, Jiang L.
Design of Quantum Annealing Machine for Prime Factoring
M. Maezawa, K. Imafuku, M. Hidaka, H. Koike, S. Kawabata
Dissipative quantum bifurcation machine: Quantum heating of coupled nonlinear oscillators
Hayato Goto, Zhirong Lin, Yasunobu Nakamura
Dissipative quantum error correction and application to quantum sensing with trapped ions.
Reiter F, Sørensen AS, Zoller P, Muschik CA.
Early days following Grover's quantum search algorithm
Fang Song
Efficiency of quantum versus classical annealing in non-convex learning problems
Carlo Baldassi, Riccardo Zecchina
Efficient quantum circuit for singular value thresholding
Bojia Duan, Jiabin Yuan, Ying Liu, Dan Li
Experimental comparison of two quantum computing architectures.
Linke NM, Maslov D, Roetteler M, Debnath S, Figgatt C, Landsman KA, Wright K, Monroe C.
Experimental demonstration of a fully inseparable quantum state with nonlocalizable entanglement.
Mičuda M, Koutný D, Miková M, Straka I, Ježek M, Mišta L.
Experimental Detection of Quantum Channel Capacities.
Cuevas Á, Proietti M, Ciampini MA, Duranti S, Mataloni P, Sacchi MF, Macchiavello C.
Experimental Machine Learning of Quantum States
Jun Gao, Lu-Feng Qiao, Zhi-Qiang Jiao, Yue-Chi Ma, Cheng-Qiu Hu, Ruo-Jing Ren, Ai-Lin Yang, Hao Tang, Man-Hong Yung, Xian-Min Jin
Experimental Phase Estimation Enhanced By Machine Learning
Alessandro Lumino, Emanuele Polino, Adil S. Rab, Giorgio Milani, Nicolò Spagnolo, Nathan Wiebe, Fabio Sciarrino