Quantum Machine Learning

4,130 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 385-396 of 4,130

Editorial: Nanomedicine targeting central nervous system

Zhixing Wu, Barkha J. Yadav-Samudrala, Sylvia Fitting

2026 OpenAlex UNC Libraries

EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms

Abolfazl Younesi, Nouhaila Innan, Alberto Marchisio, Muhammad Shafique

2026 arXiv arXiv preprint

Effects of cognitive decision-making gamification tasks on academic motivation and academic enjoyment in EFL students: Under a quantum cognition framework

Zhou Hong, Yuan Xiaohe

2026 Crossref Learning and Motivation

Effects of digital context-shift learning tasks grounded in quantum context dependence on EFL students’ goal orientation motivation: A mixed-methods inquiry

Jingjing He, Qi Huang

2026 Crossref Learning and Motivation

Efficient and Practical Black-Box Verification of Quantum Metric Learning Algorithms

Ahmed Shokry, Movahhed Sadeghi, Mahmut Kandemir

2026 arXiv arXiv preprint

Efficient Complex-Valued State Preparation on Bucket Brigade QRAM

Alessandro Berti, Francesco Ghisoni

2026 arXiv arXiv preprint

Efficient exploration of peptide libraries using active learning with AlphaFold-based screening.

Gaza J, Santos JBW, Singh B, Miranda-Quintana RA, Perez A

2026 PubMed bioRxiv : the preprint server for biology

Efficient Gate Reordering for Distributed Quantum Compiling in Data Centers

Riccardo Mengoni, Walter Nadalin, Mathys Rennela, Jimmy Rotureau, Tom Darras, Julien Laurat, Eleni Diamanti, Ioannis Lavdas

2026 Crossref EPJ Quantum Technology

Efficient implementation of a quantum algorithm with a trapped ion qudit.

Shi X, Sinanan-Singh J, Burke TJ, Chiaverini J, Chuang IL.

2026 Europe PMC Nat Commun

Efficient implementation of arbitrary Hermitian-preserving and trace-preserving maps

Weizhou Cai, Zi-Jie Chen, Xuanqiang Zhao, Xin Wang, Guang-Can Guo, Luyan Sun, Chang-Ling Zou

2026 arXiv arXiv preprint

Efficient learning of logical noise from syndrome data

Han Zheng, Chia-Tung Chu, Senrui Chen, Argyris Giannisis Manes, Su-un Lee, Sisi Zhou, Liang Jiang

2026 arXiv arXiv preprint

Efficient Mutation Testing of Quantum Machine Learning Models

Emma Andrews, Prabhat Mishra

2026 arXiv arXiv preprint