Quantum Machine Learning
4,009 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 1297-1308 of 4,009
Tomography of quantum states with bounded extent
Srinivasan Arunachalam, Arkopal Dutt
Topological thermoelectrics: analytical framework, material aspects and machine learning.
Mondal D, Ghosal S, Datta S, Jana D
Total Synthesis of (±)- and (+)-Euphohyrisnoid A.
Ye ZH, Ao QQ, Peng YC, Liu X, Lin X, Li CC
Toward Efficient Hydrogen Storage: A Quantum Chemical Study of Beryllium Clusters
Seyfeddine Rahali, Youghourta Belhocine, Ridha Ben Said, Bakheit Mustafa
Toward Generative Quantum Utility via Correlation-Complexity Map
Chen-Yu Liu, Leonardo Placidi, Eric Brunner, Enrico Rinaldi
Toward Near-Real-Time Marine Oil Spill Detection in SAR Imagery using Quantum-Assisted SVM
Joseph Strauss, Jyotsna Sharma
Toward quantum-aware machine learning: Improved prediction of quantum dissipative dynamics via complex valued neural networks.
Atif M, Ullah A, Yang M.
Toward Quantum-Optimized Flow Scheduling in Multi-Beam Digital Satellites
Qiben Yan, John P. T. Stenger, Daniel Gunlycke
Towards Automated Selection of Quantum Encoding Circuits via Meta-Learning
Dao Duy Tung, Nguyen Quoc Chuong, Vu Tuan Hai, Le Bin Ho, Lan Nguyen Tran
Towards Deploying Optimistic Quantum Fourier Transforms: An Architecture-Algorithm Co-Design Study
Pedro L. S. Lopes
Towards Exponential Quantum Improvements in Solving Cardinality-Constrained Binary Optimization
Haomu Yuan, Hanqing Wu, Kuan-Cheng Chen, Bin Cheng, Crispin H. W. Barnes
Towards Fair Benchmarking of Quantum Transfer Learning for Visual Classification
Nouhaila Innan, Saim Rehman, Muhammad Shafique