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 3757-3768 of 3,957
Quantification of DNA Extracted from Formalin Fixed Paraffin-Embeded Tissue Comparison of Three Techniques: Effect on PCR Efficiency.
Kumar D, Panigrahi MK, Suryavanshi M, Mehta A, Saikia KK.
Quantum Enhanced Inference in Markov Logic Networks
Peter Wittek, Christian Gogolin
Quantum Error Correction Protects Quantum Search Algorithms Against Decoherence.
Botsinis P, Babar Z, Alanis D, Chandra D, Nguyen H, Ng SX, Hanzo L.
Quantum gradient descent and Newton's method for constrained polynomial optimization
Patrick Rebentrost, Maria Schuld, Leonard Wossnig, Francesco Petruccione, Seth Lloyd
Quantum Laplacian Eigenmap
Yiming Huang, Xiaoyu Li
Quantum Learning with Noise and Decoherence: A Robust Quantum Neural Network
Nam H. Nguyen, Elizabeth C. Behrman, James E. Steck
Quantum Machine Learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd
Quantum Neural Machine Learning - Backpropagation and Dynamics
Carlos Pedro Gonçalves
Quantum Walk in Periodic Potential on a Line and a Model of Interacting Opinions
C. -L. Ho
Quantum-enhanced machine learning
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
Qudi: a modular python suite for experiment control and data processing
Jan M Binder, Alexander Stark, Nikolas Tomek, Jochen Scheuer, Florian Frank, Kay D Jahnke, Christoph Müller, Simon Schmitt, Mathias H Metsch, Thomas Unden, Tobias Gehring, Alexander Huck, Ulrik L Andersen, Lachlan J Rogers, Fedor Jelezko
Random access codes and non-local resources
Anubhav Chaturvedi, Marcin Pawlowski, Karol Horodecki