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 949-960 of 4,297

Option Pricing on Noisy Intermediate-Scale Quantum Computers: A Quantum Neural Network Approach

Sebastian Zając, Rafał Pracht

2026 arXiv arXiv preprint

OptiQKD: A Machine Learning-Optimized Framework for Real-Time Parameter Tuning in Quantum Key Distribution

Noureldin Mohamed, Jawaher Kaldari, Saif Al-Kuwari

2026 arXiv arXiv preprint

OQMD: Single-Qubit Rotation Control Improves Low-CNOT Multiclass Quantum Classification

Michael A. Magid, Melissa Zeynep Ertem, Jun Suzuki

2026 arXiv arXiv preprint

Orbit dimensions in linear and Gaussian quantum optics

Eliott Z. Mamon

2026 arXiv arXiv preprint

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

2026 PubMed Materials horizons

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

2026 arXiv arXiv preprint

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

2026 PubMed ACS nano

Overshifted parameter-shift rules: optimizing complex quantum systems with few measurements

Leonardo Banchi, Dominic Branford, Chetan Waghela

2026 Crossref Quantum Science and Technology

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

2026 PubMed Redox biology

PAPUS: Pauli-Space-Based Multiclass Quantum Classification

Yuhang Tu, Shengmei Zhao, Le Wang, Anqi Zhang

2026 arXiv arXiv preprint

Parallelizing Large-Scale Tensor Network Contraction on Multiple GPUs

Feng Pan, Hanfeng Gu, Paul Springer, Xipeng Li

2026 arXiv arXiv preprint

Parameter Determination of Quantum Approximate Optimization Algorithm Using Layerwise Grid Search Method

Su-Ling Lee, Chien-Cheng Tseng

2026 Crossref The 7th Eurasia Conference on IoT, Communication and Engineering 2025 (ECICE 2025)