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 2209-2220 of 3,957
Quantum-Powered Optimization for Electric Vehicle Charging Infrastructure Deployment
Nazmush Sakib, Xin Chen
Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen
Quantum-tunnelling deep neural network for optical illusion recognition
Ivan S. Maksymov
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks
Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti, Dario Spiller, Bertrand Le Saux, Paolo Gamba, Silvia Ullo
Quartic quantum speedups for planted inference
Alexander Schmidhuber, Ryan O'Donnell, Robin Kothari, Ryan Babbush
QuAS: Quantum Application Score for benchmarking the utility of quantum computers
Koen J. Mesman, Ward van der Schoot, Matthias Möller, Niels M. P. Neumann
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing
Chuan-Chi Wang, Yu-Cheng Lin, Yan-Jie Wang, Chia-Heng Tu, Shih-Hao Hung
Quixer: A Quantum Transformer Model
Nikhil Khatri, Gabriel Matos, Luuk Coopmans, Stephen Clark
Qureka! Box -- An ENSAR methodology based tool for understanding quantum computing concepts
Abhishek Purohit, Jose Jorge Christen, Richard Kienhoefer, Simon Armstrong, Maninder Kaur, Araceli Venegas-Gomez
QWalkVec: Node Embedding by Quantum Walk
Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa
Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation
Mekena Metcalf, Pablo Andrés-Martínez, Nathan Fitzpatrick