Quantum Machine Learning
256 papers for year 2021
Showing 241-252 of 256
TensorLy-Quantum: Quantum Machine Learning with Tensor Methods
Taylor L. Patti, Jean Kossaifi, Susanne F. Yelin, Anima Anandkumar
The case against entanglement improved measurement precision
Liam P. McGuinness
The Effect of Quantum Model to Students’ Learning Independence for Elementary School in Teaching Natural Science Learning
Sumiati Pulungan, Yanti Fitria
The Presence and Absence of Barren Plateaus in Tensor-network Based Machine Learning
Zidu Liu, Li-Wei Yu, L. -M. Duan, Dong-Ling Deng
The Quantum Multiple-Access Channel with Cribbing Encoders
Uzi Pereg, Christian Deppe, Holger Boche
The Quantum Version of Prediction for Binary Classification Problem by Ensemble Methods
Kamil Khadiev, Liliia Safina
Toward Robust Autotuning of Noisy Quantum Dot Devices
Joshua Ziegler, Thomas McJunkin, E. S. Joseph, Sandesh S. Kalantre, Benjamin Harpt, D. E. Savage, M. G. Lagally, M. A. Eriksson, Jacob M. Taylor, Justyna P. Zwolak
Ultimate accuracy limit of quantum pulse-compression ranging
Quntao Zhuang, Jeffrey H. Shapiro
Universal quantum state preparation via revised greedy algorithm
Run-Hong He, Hai-Da Liu, Sheng-Bin Wang, Jing Wu, Shen-Shuang Nie, Zhao-Ming Wang
Using the first-order, second-order, and third-order interpolation perturbation theory from quantum mechanics of modern physics to predict the CGM sensor device’s fasting plasma glucose value in the early morning, while analyzing their associated waveform shape similarities over a 14-month period based on GH-Method: math-physical medicine (No. 561)
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Utilizing machine learning to improve the precision of fluorescence imaging of cavity-generated spin squeezed states
Benjamin K. Malia, Yunfan Wu, Julián Martínez-Rincón, Mark A. Kasevich
Variational quantum amplitude estimation
Kirill Plekhanov, Matthias Rosenkranz, Mattia Fiorentini, Michael Lubasch