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 3841-3852 of 3,957
A Quantum Information Retrieval Approach to Memory
Kirsty Kitto, Peter Bruza, Liane Gabora
A quantum lower bound for distinguishing random functions from random permutations
Henry Yuen
A revised uncertainty budget for measuring the Boltzmann constant using the Doppler Broadening Technique on ammonia
Cyril Lemarchand, Sinda Mejri, Papa Lat Tabara Sow, Meriam Triki, Sean K. Tokunaga, Stephan Briaudeau, Christian Chardonnet, Benoît Darquié, Christophe Daussy
A scalable, fast and multichannel arbitrary waveform generator
Muhammad Tanveer Baig, Michael Johanning, Andreas Wiese, Stefan Heidbrink, Michael Ziolkowski, Christof Wunderlich
A simple decoder for topological codes
James R. Wootton
Adversary Lower Bounds for the Collision and the Set Equality Problems
Aleksandrs Belovs, Ansis Rosmanis
Causal structures from entropic information: Geometry and novel scenarios
Rafael Chaves, Lukas Luft, David Gross
Coherent Josephson qubit suitable for scalable quantum integrated circuits.
Barends R, Kelly J, Megrant A, Sank D, Jeffrey E, Chen Y, Yin Y, Chiaro B, Mutus J, Neill C, O'Malley P, Roushan P, Wenner J, White TC, Cleland AN, Martinis JM.
Critique of Fault-Tolerant Quantum Information Processing
Robert Alicki
Entanglement and tensor network states
J. Eisert
Exponential Quantum-Classical Gaps in Multiparty Nondeterministic Communication Complexity
Xiaoming Sun, Marcos Villagra
Fault Tolerant Synthesis of Reversible Circuits
Anugrah Jain