Quantum Machine Learning
4,265 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 589-600 of 4,265
Grover Quantum Algorithm: Applications and Limits
David R.C. Hill
GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
Wang H, Li P, Chen M, Cheng J, Liu J, Chen T.
GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation
Steven Szachara, Sheeraja Rajakrishnan, Dylan Jay Van Allen, Jason Pollack, Travis Desell, Daniel Krutz
Guaranteeing Privacy in Hybrid Quantum Learning through Theoretical Mechanisms
Hoang M. Ngo, Tre' R. Jeter, Incheol Shin, Wanli Xing, Tamer Kahveci, My T. Thai
Halving the cost of QROM
Danial Motlagh, Matthew Pocrnic
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
HarmQ: Harmonic Backdoor Attacks Against Quantum Neural Networks
Junrui Zhang, Zemin Chen, Chunsheng Xin, Hongyi Wu, Rui Ning