Quantum Machine Learning
3,957 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 493-504 of 3,957
Hamiltonian Chaos
Steven Tomsovic
Hardware Validation of DAGI via a Modular "Ridge" Signature and High-Order Synergistic Information
Petr Sramek
Hardware-Agnostic Modeling of Quantum Side-Channel Leakage via Conditional Dynamics and Learning from Full Correlation Data
Brennan Bell, Andreas Trügler, Konstantin Beyer, Paul Erker
Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems
Sumit Chongder
Hardware-Aware Quantum Support Vector Machines
Adil Mubashir Chaudhry, Ali Raza Haider, Hanzla Khan, Muhammad Faryad
Harmoniq: Efficient Data Augmentation on a Quantum Computer Inspired by Harmonic Analysis
Kristina Kirova, Monika Doerfler, Franz Luef, Richard Kueng
Harnessing a 256-qubit Neutral Atom Simulator for Graph Classification
Edoardo Giusto, Gabriele Iurlaro, Bartolomeo Montrucchio, Alberto Scionti, Olivier Terzo, Chiara Vercellino, Giacomo Vitali, Paolo Viviani
Harnessing DEN models for quantum computing tasks on neutral atom QPUs
Chiara Vercellino, Giacomo Vitali, Paolo Viviani, Alberto Scionti, Olivier Terzo, Bartolomeo Montrucchio
Harnessing Environmental Memory with Reinforcement Learning in Open Quantum Systems
Safae Gaidi, Abdallah Slaoui, Mohammed EL Falaki, Amine Jaouadi
HCF-QNet: A GWO-Optimized Hybrid Contrastive Quantum Neural Network for Chronic Kidney Disease Prediction
Pathak A, Singh OP.
HCQNSC: a hybrid classical-quantum neural network for text sentiment classification
Tingyu Liu, Ying Li, Jingtao Wang, Yun Pan
Hierarchy of discriminative power and complexity in learning quantum ensembles
Jian Yao, Pengtao Li, Xiaohui Chen, Quntao Zhuang