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 37-48 of 486
Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks
Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar, Arindam Biswas, Hiroaki Satoh, Gurudas Mandal, Vitaliy Maksimenko, Victor Krishtop
Accelerating Extended Benders Decomposition with Quantum-Classical Hybrid Solver
Takuma Yoshihara, Masayuki Ohzeki
Accelerating Post-Quantum Cryptography: A High-Efficiency NTT for ML-KEM on RISC-V
Duc-Thuan Dam, Khai-Duy Nguyen, Duc-Hung Le, Cong-Kha Pham
Adapting Quantum Machine Learning for Energy Dissociation of Bonds
Swathi Chandrasekhar, Shiva Raj Pokhrel, Navneet Singh
Adaptive Aggregation with Two Gains in QFL
S Nanayakkara
ADVANCED MULTIMODAL AI FRAMEWORK FOR ENHANCED DIABETIC RETINOPATHY DIAGNOSIS AND SEVERITY CLASSIFICATION
VIRENDRA KUMAR TIWARI, JITENDRA AGRAWAL, SANJAY BAJPAI, KAVITA KANATHEY
Advanced Quantum Machine Learning Framework Enhances Classification Accuracy by 34% Through Multi-Dimensional Geometric Optimization
Chaplart TB.
Advances in Quantum Computing and Platform Trends
Gyeongju Song, Seyoung Yoon, Hwajeong Seo
Advances in Quantum Genetic Algorithms
Dennis Lima, Rakesh Saini, Saif Al-Kuwari
Adversarially Robust Quantum Transfer Learning
Amena Khatun, Muhammad Usman
Agent policies from higher-order causal functions
Matt Wilson
Algorithmic Randomness, Exchangeability, and the Principal Principle
Jeffrey A. Barrett, Eddy Keming Chen