Quantum Machine Learning
4,297 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 781-792 of 4,297
Local Softmax and Global Weights in Non-Boolean Event Structures
Karl Svozil
Local surrogates for quantum machine learning
Nair SR, Ferrie C.
Local tensor-train surrogates for quantum learning models
Sreeraj Rajindran Nair, Christopher Ferrie
Long Range Frequency Tuning for QML
Michael Poppel, Jonas Stein, Sebastian Wölckert, Markus Baumann, Claudia Linnhoff-Popien
Low Depth Distributed Quantum Algorithms for Unordered Database Search
Huaijing Huang, Daowen Qiu, Ximing Hua, Xinyu Chen
Low-cost Ultra-low Noise DAC System-on-Module for Scalable Ion-Trap Electrode Control
Mitchell G. Peaks, Mia M. Kaarls, Crystal Noel
Lund Plane to Bloch (LP2B) Encoding for Object and Polarization Tagging with Quantum Jet Substructure
Fabrizio Napolitano, Luca Della Penna, Tommaso Tedeschi, Livio Fanò
Machine Learning Accelerated Computational Design of Bio-Inspired Catalysts in the Nitrogen Reduction Reaction.
Di Ciano L, You Z, Chen H, Zhong Q, Liao RZ, Zhan S
Machine learning analysis of metalloid nanoclusters from the Quantum Cluster Database: Structural-phase transitions, electronic-geometric coupling, and exploratory binary nano-alloy predictions
Renjith Thomas, Ali A. Khairbek, Sneha Anna Sunny, Abdullah Yahya Abdullah Alzahrani
Machine learning and artificial intelligence in perovskite quantum dot electroanalysis: From data-driven synthesis to intelligent sensing interfaces
Mohamed Abu Shuheil, Ahmed Aldulaimi, Rekha M M, Subhashree Ray, Omayma salim waleed, CP. Surya, Renu Sharma, Vatsal Jain, Hadi Noorizadeh, Mosstafa Kazemi
Machine learning approach to tomographic pattern generation and classification of quantum states of light
Anonymous
Machine Learning Approaches to Building Quantum Circuits for Sets of Matrices
Matvei Fedin, Andrei Morozov