Quantum Machine Learning
30 papers from OpenAlex
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 25-30 of 30
Shallow instantaneous quantum polynomial-time circuits for generative modeling on noisy intermediate-scale quantum hardware
Anonymous
2026
OpenAlex
Physical review. A/Physical review, A
SNG-Based Real-Time Plasma Control System: From Operator Calculus to Hardware Implementation
Durhan Yazir
2026
OpenAlex
Zenodo (CERN European Organization for Nuclear Research)
Structural–Spectral Computing and Quantum Superintelligence: Real-Time Structural Coherence Control Across Complex Systems
Gopal Mahadevan
2026
OpenAlex
Zenodo (CERN European Organization for Nuclear Research)
The Effects of Various Low-Impact Development Combinations on Surface Runoff Reduction in the Smith Branch Watershed Using the SWMM Model.
Justin Cuevas
2026
OpenAlex
Furman University Scholar Exchange (Furman University)
The research on a novel paradigm of quantum-resistant encryption based on large models
Lihan Xia
2026
OpenAlex
Zenodo (CERN European Organization for Nuclear Research)
Why does Re anti-segregate from the grain boundaries in Ni?
Christopher A. Schuh, Changle Li, Sourabh Bhagwan Kadambi, Boopathy Kombaiah, Nutth Tuchinda
2026
OpenAlex
OpenAlex