Quantum Machine Learning
4,130 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 4105-4116 of 4,130
Optimal quantum adversary lower bounds for ordered search
Andrew M. Childs, Troy Lee
Quantum Auctions using Adiabatic Evolution: The Corrupt Auctioneer and Circuit Implementations
Saikat Guha, Tad Hogg, David Fattal, Timothy Spiller, Raymond G. Beausoleil
Quantum Discrete Fourier Transform with Classical Output for Signal Processing
Chao-Yang Pang, Ben-Qiong Hu
Quantum Pattern Recognition of Classical Signal
Chao-Yang Pang, Cong-Bao Ding, Ben-Qiong Hu
Quantum private queries
Vittorio Giovannetti, Seth Lloyd, Lorenzo Maccone
Simulation of Quantum Algorithms with a Symbolic Programming Language
Peter Nyman
The Impossibility Of Secure Two-Party Classical Computation
Roger Colbeck
The Quantum Interference Computer: an experimental proposal
A. Y. Shiekh
Combined electronic-topological and neural networks study of some hydroxysemicarbazides as potential antitumor agents.
Kandemirli F, Shvets N, Kovalishyn V, Dimoglo A
Effects of scintillator on the detective quantum efficiency (DQE) of a digital imaging system.
Farman TT, Vandre RH, Pajak JC, Miller SR, Lempicki A, Farman AG
Molecular mechanisms of antibiotic resistance: QM/MM modelling of deacylation in a class A beta-lactamase.
Hermann JC, Ridder L, Höltje HD, Mulholland AJ
Quantitative structure-activity relationship models for prediction of sensory irritants (logRD50) of volatile organic chemicals.
Luan F, Ma W, Zhang X, Zhang H, Liu M, Hu Z, Fan BT