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 2041-2052 of 4,297
Quantum Worst-Case to Average-Case Reduction for Matrix-Vector Multiplication
Divesh Aggarwal, Dexter Kwan
Quantum-Based Self-Attention Mechanism for Hardware-Aware Differentiable Quantum Architecture Search
Yuxiang Liu, Sixuan Li, Fanxu Meng, Zaichen Zhang, Xutao Yu
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