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 733-744 of 3,957
Optimization of CV-QKD Under Practical Constraints
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna, Konrad Banaszek, Darko Zibar
Optimizing cross-domain transfer for universal machine learning interatomic potentials.
Kim J, You J, Park Y, Lim Y, Kang Y, Kim J, Jeon H, Ju S, Hong D, Lee SY, Choi S, Kim Y, Lee JW, Han S
Optimizing entanglement distribution via noisy quantum channels
Piotr Masajada, Marco Fellous-Asiani, Alexander Streltsov
Optimum 6G/7G quantum network design: Survey
Savo Glisic, Beatriz Lorenzo
Option Pricing on Noisy Intermediate-Scale Quantum Computers: A Quantum Neural Network Approach
Sebastian Zając, Rafał Pracht
OptiQKD: A Machine Learning-Optimized Framework for Real-Time Parameter Tuning in Quantum Key Distribution
Noureldin Mohamed, Jawaher Kaldari, Saif Al-Kuwari
Orbital-level engineering of bonding networks to modulate halogen migration in lead-free double perovskites.
Fang Q, Hu M, Gao X, Wu Y, Ji Q, Ju MG, Wang J
Orthogonalised Self-Guided Quantum Tomography: Insights from Single-Pixel Imaging
Kiki Dekkers, Alice Ruget, Fazilah Nothlawala, Sabrina Henry, Stirling Scholes, Miles Padgett, Andrew Forbes, Isaac Nape, Jonathan Leach
Overcoming the Trade-Off between Initial Coulombic Efficiency and Rate Performance in Hard Carbon Anodes for Sodium-Ion Storage.
Li Z, Gao Y, Luo W, Xu Z, Wu J, Wang Y, Zhang K, Chen R, Lu Z, Wang HL
Oxidative stress biomarkers in assisted reproductive technologies: From follicular redox biology to clinical translation.
Lin N, van Zomeren K, Plosch T, Hofsink N, Zhou X, Tietge UJF, Cantineau A, Schirhagl R, Hoek A
PAPUS: Pauli-Space-Based Multiclass Quantum Classification
Yuhang Tu, Shengmei Zhao, Le Wang, Anqi Zhang
Parallelizing Large-Scale Tensor Network Contraction on Multiple GPUs
Feng Pan, Hanfeng Gu, Paul Springer, Xipeng Li