Quantum Machine Learning

521 papers for year 2024

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 301-312 of 521

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction

Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique

2024 arXiv arXiv preprint

QAHAN: A Quantum Annealing Hard Attention Network

Ren-Xin Zhao

2024 arXiv arXiv preprint

QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest

Romina Yalovetzky, Niraj Kumar, Changhao Li, Marco Pistoia

2024 arXiv arXiv preprint

QCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization

Nitin Nayak, Manuel Schönberger, Valter Uotila, Zhengtong Yan, Sven Groppe, Jiaheng Lu, Wolfgang Mauerer

2024 arXiv arXiv preprint

QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding

Chi-Sheng Chen, Samuel Yen-Chi Chen, Aidan Hung-Wen Tsai, Chun-Shu Wei

2024 arXiv arXiv preprint

Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models

Sanjay Vishwakarma, Francis Harkins, Siddharth Golecha, Vishal Sharathchandra Bajpe, Nicolas Dupuis, Luca Buratti, David Kremer, Ismael Faro, Ruchir Puri, Juan Cruz-Benito

2024 arXiv arXiv preprint

QKAN: Quantum Kolmogorov-Arnold Networks

Petr Ivashkov, Po-Wei Huang, Kelvin Koor, Lirandë Pira, Patrick Rebentrost

2024 arXiv arXiv preprint

qLUE: A Quantum Clustering Algorithm for Multi- Dimensional Datasets

Dhruv Gopalakrishnan, Luca Dellantonio, Antonio Di Pilato, Wahid Redjeb, Felice Pantaleo, Michele Mosca

2024 arXiv arXiv preprint

Qonductor: A Cloud Orchestrator for Quantum Computing

Emmanouil Giortamis, Francisco Romão, Nathaniel Tornow, Dmitry Lugovoy, Pramod Bhatotia

2024 arXiv arXiv preprint

QOPS: A Compiler Framework for Quantum Circuit Simulation Acceleration with Profile Guided Optimizations

Yu-Tsung Wu, Po-Hsuan Huang, Kai-Chieh Chang, Chia-Heng Tu, Shih-Hao Hung

2024 arXiv arXiv preprint

QSRA: A QPU Scheduling and Resource Allocation Approach for Cloud-Based Quantum Computing

Binhan Lu, Zhaoyun Chen, Yuchun Wu

2024 arXiv arXiv preprint

QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train

Chen-Yu Liu, Chu-Hsuan Abraham Lin, Chao-Han Huck Yang, Kuan-Cheng Chen, Min-Hsiu Hsieh

2024 arXiv arXiv preprint