Quantum Machine Learning
486 papers for year 2025
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 385-396 of 486
Quantum-centric machine learning for molecular dynamics
Yanxian Tao, Lingyun Wan, Xiongzhi Zeng, Yingdi Jin, Jie Liu, Zhenyu Li, Jinlong Yang
Quantum-Circuit Framework for Two-Stage Stochastic Programming via QAOA Integrated with a Quantum Generative Neural Network
Taihei Kuroiwa, Daiki Yamazaki, Keita Takahashi, Kodai Shiba, Chih-Chieh Chen, Tomah Sogabe
Quantum-Classical Hybrid Approaches for Robust Malware Classification
Ms. Anisree P G
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Milan Maksimovic, Ivan S. Maksymov
Quantum-enhanced hybrid deep reinforcement learning for real-time volleyball tactical decision making.
Cai N, Zhao M, Ke Y, Liu X.
Quantum-Enhanced Models for Predicting Atmospheric Dynamics in Weather Forecasting
Bakialakshmi Varadaradjaperoumal Bhuvana, Mathan S
Quantum-Enhanced Travel Procurement: Hybrid Quantum–Classical Optimization for Enterprise Travel Management
Prajkta Waditwar
Quantum-inspired improved African vultures optimization algorithm for efficient placement of IoT service in edge computing environment
B. Panjavarnam, N. Kanimozhi, S. Rahmath Nisha, N. Dharini
Quantum, Diplomacy, and Geopolitics
Axel Ferrazzini
QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses
Amira Abbas, Yanlin Chen, Tuyen Nguyen, Ronald de Wolf
QuantumCanvas: A Multimodal Benchmark for Visual Learning of Atomic Interactions
Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban
QuantumSavory: Write Symbolically, Run on Any Backend -- A Unified Simulation Toolkit for Quantum Computing and Networking
Hana KimLee, Leonardo Bacciottini, Abhishek Bhatt, Andrew Kille, Stefan Krastanov