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 721-732 of 4,297

InterQ: Communication-Aware Scheduling Across Modular QPUs with Classical and Quantum Links

Vinooth Kulkarni, Jaehyun Lee, Lauren Li, Aaron Orenstein, Xinpeng Li, Shuai Xu, Daniel Blankenberg, Vipin Chaudhary

2026 arXiv arXiv preprint

Introduction to quantum error correction with stabilizer codes

Zachary P. Bradshaw, Jeffrey J. Dale, Ethan N. Evans

2026 Crossref Annals of Physics

Invariance Audits for Quantum Kernels and Variational Rewinding: A Real-to-Hermitian Taxonomy of Projector, Flag, Anchor, and Density Geometry

Azadeh Alavi, Fatemeh Kouchmeshki, Hossein Akhoundi

2026 arXiv arXiv preprint

Inverse design of bullseye cavities using tandem neural networks

Martin Sanchez, Christer Everly, Lukas Weituschat, Pablo Postigo

2026 Crossref Photonics for Quantum 2026

Inverse Molecular Design for the Discovery of Organic Energy Transfer Photocatalysts: Bridging Global and Local Chemical Space Exploration.

Schlosser L, Rendel NH, Gemen J, Glorius F, Jorner K

2026 PubMed Journal of the American Chemical Society

IQP Born Machines under Data-dependent and Agnostic Initialization Strategies

Sacha Lerch, Joseph Bowles, Ricard Puig, Erik Armengol, Zoƫ Holmes, Supanut Thanasilp

2026 arXiv arXiv preprint

Iterative quantum-assisted least squares optimization with convergence guarantees

Supreeth Mysore Venkatesh, Antonio Macaluso, Diego Arenas, Matthias Klusch, Andreas Dengel

2026 Crossref Journal of Computational Science

JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks

Gianluca Scanu, Luca Barletta, Stefano Rini

2026 arXiv arXiv preprint

K-UID: A Scale-Invariant Topological Address System for Noncovalent Interaction Classification Across Molecular Scales.

Kulkarni PP

2026 PubMed Journal of chemical information and modeling

Kaiwu-PyTorch-Plugin: Bridging Deep Learning and Photonic Quantum Computing for Energy-Based Models and Active Sample Selection

Hongdong Zhu, Qi Gao, Yin Ma, Shaobo Chen, Haixu Liu, Fengao Wang, Tinglan Wang, Chang Wu, Kai Wen

2026 arXiv arXiv preprint

Kepemimpinan SDM dalam Era Quantum Workforce: Menyiapkan Talenta untuk Industri Komputasi Masa Depan (Fokus: Strategi Pengembangan Kompetensi yang Melampaui Literasi Digital Standar)

Dyah Ayu Pramudita, Revi Agustina, Saifatul Dwi Fitriyanti, Mochammad Isa Ansori

2026 Crossref Jurnal Mahasiswa Manajemen dan Akuntansi

Kernel Learning by Quantum Annealer

Yasushi Hasegawa, Hiroki Oshiyama, Masayuki Ohzeki

2026 Crossref Journal of the Physical Society of Japan