Variational & Hybrid Quantum Algorithms
239 papers for year 2026
Variational & Hybrid Quantum Algorithms Research Context
This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.
Source: All sources
Showing 181-192 of 239
Quantum King-Ring Domination in Chess: A QAOA Approach
Gerhard Stenzel, Michael Kölle, Tobias Rohe, Julian Hager, Leo Sünkel, Maximilian Zorn, Claudia Linnhoff-Popien
Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, Hector Zenil, Jesper Tegner
Quantum modeling of the dynamic ride-sharing problem: Development of quantum benders decomposition methods
Erfan Amani Bani, Kourosh Eshghi
Quantum optimisation applied to the Quadratic Assignment Problem
Andrew Freeland, Jingbo Wang
Quantum optimization–an attention hybrid framework for multi-source bearing fault diagnosis
Hongchao Wang, Jianwen Jiang, Guoqing Xue, Wenliao Du
Quantum Phase Recognition via Quantum Attention Mechanism
Jin-Long Chen, Xin Li, Zhang-Qi Yin
Quantum Phase Transitions in the Transverse-Field Ising Model: A Comparative Study of Exact, Variational, and Hardware-Based Approaches
Rudraksh Sharma
Quantum solver for single-impurity Anderson models with particle-hole symmetry
Mariia Karabin, Tanvir Sohail, Dmytro Bykov, Eduardo Antonio Coello Pérez, Swarnava Ghosh, Murali Gopalakrishnan Meena, Seongmin Kim, Amir Shehata, In-Saeng Suh, Hanna Terletska, Markus Eisenbach
Quantum spectral method for gradient and Hessian estimation
Yuxin Zhang, Changpeng Shao
Quantum variational graph-driven neural framework for genomic-clinical integration in precision diagnosis.
Puli S, Kolukula NR, Yarlagadda A, Rao PVV, Shaik N, Ongole G, Meka JS
Quantum-Assisted Trainable-Embedding Physics-Informed Neural Networks for Parabolic PDEs
Ban Q. Tran, Nahid Binandeh Dehaghani, Rafal Wisniewski, Susan Mengel, A. Pedro Aguiar
Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction.
Karthick V, Alshammari FS, Jayasimman IP, Besi PR, Akgul A.