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 1105-1116 of 4,297
QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits
Navid Azimi, Aditya Prakash, Yao Wang, Li Xiong
QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification
Amit S. Patel, Himanshu R. Patel, Bikash K. Behera
QT3-FIS: A Quantum Type-3 Fuzzy Inference System for Nonlinear, Industrial, and Structural Applications
Rouzbeh Doroudi, Siyamak Doroudi
Quality control of traditional Chinese medicine solid preparation Zhizi Jinhua Pills via FT-IR, UV and THz fingerprints assisted with dissolution.
Wang X, Zou K, Li P, Zhu W, Cui H, Xiao L, Lan L, Sun G
Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling.
Matsubara T, Sohrabpour A, Ahlfors SP, Jas M, Samuelsson J, Sundaram P, Stufflebeam S
Quantifying imaginarity-generating power of quantum channels via averaging
Linshuai Zhang, Nan Li
Quantitative Analysis of the Effectiveness of Mid-anneal Measurement in Quantum Annealing
Keita Takahashi, Shu Tanaka
Quantitative Universal Approximation for Noisy Quantum Neural Networks
Lukas Gonon, Antoine Jacquier, Marcel Mordarski
Quantum advantage in distributed sensing with noisy quantum networks
Anonymous
Quantum Advantage in Multi Agent Reinforcement Learning
Simranjeet Singh Dahia, Claudia Szabo
Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
Syed Farhan Ahmad, Gregory T. Byrd
Quantum algorithm for estimating Olivier-Ricci curvature
Anonymous