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 2437-2448 of 3,957
Enhancing collective entanglement witnesses through correlation with state purity
Kateřina Jiráková, Antonín Černoch, Artur Barasiński, Karel Lemr
Enhancing the performance of an open quantum battery by adjusting its velocity
Mojaveri B, Bahrbeig RJ, Fasihi MA, Babanzadeh S.
Enhancing the Security of the BB84 Quantum Key Distribution Protocol against Detector-Blinding Attacks via the Use of an Active Quantum Entropy Source in the Receiving Station.
Stipčević M.
Entanglement transition in deep neural quantum states
Giacomo Passetti, Dante M. Kennes
Entanglement transitions induced by quantum-data collection
Shane P. Kelly, Jamir Marino
Entanglement Verification with Deep Semi-supervised Machine Learning
Lifeng Zhang, Zhihua Chen, Shao-Ming Fei
EntangleVR++: evaluating the potential of using entanglement in an interactive VR scene creation system
Mengyu Chen, Marko Peljhan, Misha Sra, Misha Sra
Evaluating quantum generative models via imbalanced data classification benchmarks
Graham R. Enos, Matthew J. Reagor, Eric Hulburd
Evaluating the Convergence Limit of Quantum Neural Tangent Kernel
Trong Duong
Evaluating Three Levels of Quantum Metrics on Quantum-Inspire Hardware
Ward van der Schoot, Robert Wezeman, Pieter Thijs Eendebak, Niels M. P. Neumann, Frank Phillipson
Exact Learning with Tunable Quantum Neural Networks and a Quantum Example Oracle
Viet Pham Ngoc, Herbert Wiklicky
Experimental property-reconstruction in a photonic quantum extreme learning machine
Alessia Suprano, Danilo Zia, Luca Innocenti, Salvatore Lorenzo, Valeria Cimini, Taira Giordani, Ivan Palmisano, Emanuele Polino, Nicolò Spagnolo, Fabio Sciarrino, G. Massimo Palma, Alessandro Ferraro, Mauro Paternostro