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 85-96 of 3,957

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction

Nouhaila Innan, M. Murali Karthick, Simeon Kandan Sonar, Vivek Chaturvedi, Muhammad Shafique

2026 arXiv arXiv preprint

Absolute Coherence - Resonance over Resistance — a Conceptual Framework for Quantum Technologies

Hakan Henken

2026 OpenAlex Zenodo (CERN European Organization for Nuclear Research)

Absorbing Many-Body Correlations into Core-Optimized Orbitals

Hao Zhang, Matthew Otten

2026 arXiv arXiv preprint

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun

2026 DOAJ Advanced Energy & Sustainability Research

Accelerating organic luminescent material discovery: from quantum chemical calculations to machine learning.

Zeng Y, Zhang SC, Guo WY, Zheng XY

2026 PubMed Chemical communications (Cambridge, England)

Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture

Hoang Anh Nguyen, Divakar Vashisth, Ali Tura

2026 arXiv arXiv preprint

Accelerating Quantum State Encoding with SIMD: Design, Implementation, and Benchmarking

Riza Alaudin Syah, Irwan Alnarus Kautsar, Gunawan Witjaksono, Haza Nuzly Bin Abdull Hamed

2026 arXiv arXiv preprint

Accelerating Quantum Tensor Network Simulations with Unified Path Variations and Non-Degenerate Batched Sampling

Taylor Lee Patti, Paavai Pari, Yang Gao, Azzam Haidar, Thien Nguyen, Tom Lubowe, Daniel Lowell, Brucek Khailany

2026 arXiv arXiv preprint

Accelerating quasiparticle physics: A review on the synergy of machine learning and density functional theory for excitons, polaritons, and plasmons.

Alavi-Rad H, Hassani-Vasmejani M, Bagheri Tagani M

2026 PubMed Journal of physics. Condensed matter : an Institute of Physics journal

Accurate Hydration Free Energy Calculations for Diverse Organic Molecules With a Machine Learning Force Field.

Xie X, Weber JL, Svensson M, Johnston RC, Harder ED, Jacobson LD

2026 PubMed Journal of chemical theory and computation

Accurate Machine Learning Interatomic Potentials for Polyacene Molecular Crystals: Application to Single Molecule Host-Guest Systems

Burak Gurlek, Shubham Sharma, Paolo Lazzaroni, Angel Rubio, Mariana Rossi

2026 arXiv arXiv preprint

ACFlow 2.0 : An open source toolkit for analytic continuation of quantum Monte Carlo data

Li Huang

2026 Crossref Computer Physics Communications