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 1909-1920 of 4,297
Navigating the Quantum Resource Landscape of Entropy Vector Space Using Machine Learning and Optimization
Nothando Khumalo, Aman Mehta, William Munizzi, Prineha Narang
Near-optimal Prediction Error Estimation for Quantum Machine Learning Models
Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Jerry Zhijian Yang
Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
Tongyang Li, Xinzhao Wang, Yexin Zhang
Network-based prediction of drug combinations with quantum annealing
Diogo Ramos, Bruno Coutinho, Duarte Magano
Neural Architecture Search for Quantum Autoencoders
Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
Next-generation graph computing with electric current-based and quantum-inspired approaches
Yoon Ho Jang, Janguk Han, Soo Hyung Lee, Cheol Seong Hwang
Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization
Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li
Noise-Adaptive Quantum Circuit Mapping for Multi-Chip NISQ Systems via Deep Reinforcement Learning
Atiye Zeynali, Zahra Bakhshi
Noise-Induced Equalization in quantum learning models
Francesco Scala, Giacomo Guarnieri, Aurelien Lucchi
Non-unitary Quantum Physical Unclonable Functions: Modelling, Simulation, and Evaluation under Open Quantum Dynamics
Mohammadreza Vali, Hossein Aghababa, Nasser Yazdani
Nonadaptive One-Way to Hiding Implies Adaptive Quantum Reprogramming
Joseph Jaeger
Observability Architecture for Quantum-Centric Supercomputing Workflows
Naoki Kanazawa, Yuto Morohoshi, Hitomi Takahashi, Yukio Kawashima, Hiroshi Horii, Kengo Nakajima