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 2065-2076 of 4,297
RELiQ: Scalable Entanglement Routing via Reinforcement Learning in Quantum Networks
Tobias Meuser, Jannis Weil, Aninda Lahiri, Marius Paraschiv
Research Directions in Quantum Computer Cybersecurity
Jakub Szefer
Resource-efficient quantum correlation measurements via multicopy neural network methods.
Tulewicz P, Bartkiewicz K, Miranowicz A, Nori F.
Resource-Efficient Variational Quantum Classifier
Petr Ptáček, Paulina Lewandowska, Ryszard Kukulski
Revisiting Quantum Supremacy: Simulating Sycamore-Class Circuits Using Hybrid CPU/GPU HPC Workloads
Bob Wold, Venkateswaran Kasirajan
Revolutionizing nanozymes: The synthesis, enzyme-mimicking capabilities of carbon dots, and advancements in catalytic mechanisms.
Lai CM, Xiao XS, Chen JY, He WY, Wang SS, Qin Y, He SH
Robotic chip-scale nanofabrication for superior consistency
Felix M. Mayor, Wenyan Guan, Erik Szakiel, Amir H. Safavi-Naeini, Samuel Gyger
Robust evaluation of classical and quantum machine learning under noise, imbalance, feature reduction and explainability.
Sheoran SK, Yadav V, Sheoran RK.
Robust Iterative Learning Hidden Quantum Markov Models
Ning Ning
ROLE OF CYCLIC NEGATIVE PRESSURE WOUND THERAPY IN THERMAL BURNS PATIENT
SRINIVASAN, RAVI KUMAR CHITTORIA, KANAV GUPTA
RuleSet Generation Framework for Application Layer Integration in Quantum Internet
Rei Kawano, Shin Nishio, Hideaki Kawaguchi, Shota Nagayama, Takahiko Satoh
Rydberg Vision via frugal Quantum Image Fingerprinting
Vikrant Sharma, Neel Kanth Kundu