Quantum Machine Learning
256 papers for year 2021
Showing 97-108 of 256
Iterative qubit-excitation based variational quantum eigensolver
Yordanov Y, Armaos V, Barnes C, Arvidsson-Shukur D.
Kernel Matrix Completion for Offline Quantum-Enhanced Machine Learning
Annie Naveh, Imogen Fitzgerald, Anna Phan, Andrew Lockwood, Travis L. Scholten
Lamb shift statistics in mesoscopic quantum ensembles
Lane G. Gunderman, Andrew Stasiuk, Mohamed El Mandouh, Troy W. Borneman, David G. Cory
Large Scale Distributed Linear Algebra With Tensor Processing Units
Adam G. M. Lewis, Jackson Beall, Martin Ganahl, Markus Hauru, Shrestha Basu Mallick, Guifre Vidal
Learning Classical Readout Quantum PUFs based on single-qubit gates
Niklas Pirnay, Anna Pappa, Jean-Pierre Seifert
Learning Quantum Finite Automata with Queries
Daowen Qiu
Learning Temporal Quantum Tomography.
Tran QH, Nakajima K.
Learning the noise fingerprint of quantum devices
Stefano Martina, Lorenzo Buffoni, Stefano Gherardini, Filippo Caruso
Level by level image compression-encryption algorithm based on quantum chaos map
Ranjeet Kumar Singh, Binod Kumar, Dilip Kumar Shaw, Danish Ali Khan
Logical aspects of quantum structures
John Harding, Zhenghan Wang
Long-term secure distributed storage using quantum key distribution network with third-party verification
Mikio Fujiwara, Ryo Nojima, Toyohiro Tsurumaru, Shiho Moriai, Masahiro Takeoka, Masahide Sasaki
Machine Learning Based Parameter Estimation of Gaussian Quantum States
Neel Kanth Kundu, Matthew R. McKay, Ranjan K. Mallik