Quantum Machine Learning

4,265 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.

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Showing 577-588 of 4,265

Genomic approaches to accelerate American chestnut restoration.

Westbrook JW, Malukiewicz J, Zhang Q, Sreedasyam A, Jenkins JW, Lakoba V, Fitzsimmons S, Van Clief J, Collins K, Hoy S, Stark C, Graboski L, Jenkins E, Saielli TM, Jarrett BT, Wigfield LJ, Kerwien LM, Wilbur C, Sandercock AM, Craddock JH, Keriö S, Zhebentyayeva T, Fan S, Thomas AM, Abbott AG, Nelson CD, Xia X, McKenna JR, Kell C, Williams M, Boston L, Plott C, Carle F, Swatt J, Ostroff J, Jeffers SN, McKeever K, Smith E, Ellis TJ, James JB, Sisco P, Newhouse A, Carlson E, Powell WA, Hebard FV, Scrivani J, Heverly C, Cipollini M, Clark B, Evans E, Levine B, Carlson JE, Goodstein D, Orebaugh J, Yang ZK, Martin MZ, Tannous J, Rush TA, Engle NL, Tschaplinski TJ, Grimwood J, Schmutz J, Holliday JA, Lovell JT

2026 PubMed Science (New York, N.Y.)

Geometric Prototype Learning in Quantum Hilbert Space with Matrix Product States

Kun Zhang, Lei Ding, Sheng-Chen Bai, Jing Sun, An-Qi Jing, Min Tang, Shi-Ju Ran

2026 arXiv arXiv preprint

Geometric Quantum Physics Informed Neural Network

Wai-Hong Tam, Reza Safari, Hiromichi Matsuyama

2026 arXiv arXiv preprint

Geometric Structure-Aware Diffusion Model with Self-Optimization Strategy for Molecular Generation.

Du W, Tang C, Liu G, Sun H, Zhang J, Zhong C

2026 PubMed Journal of chemical theory and computation

GPU-Accelerated Host-Aware Dead-Measurement Detection in Hybrid Quantum--Classical Programs: Full Version

Yanbin Chen, Qunyou Liu, Yu Wang, Christian B. Mendl, Helmut Seidl

2026 arXiv arXiv preprint

GPU-Accelerated Quantum Simulation of Stabilizer Circuits

Muhammad Osama, Dimitrios Thanos, Alfons Laarman

2026 arXiv arXiv preprint

GPU-Accelerated Quantum Simulation: Empirical Backend Selection, Gate Fusion, and Adaptive Precision

Poornima Kumaresan, Pavithra Muruganantham, Lakshmi Rajendran, Santhosh Sivasubramani

2026 arXiv arXiv preprint

Gradient Analysis of Barren Plateau in Parameterized Quantum Circuits with multi-qubit gates

Yuhan Yao, Yoshihiko Hasegawa

2026 arXiv arXiv preprint

Gradients not needed: ML-driven propagation of nonadiabatic molecular dynamics without reference gradients.

Martyka M, Jankowska J, Lischka H, Dral PO

2026 PubMed Chemical science

Graduate Training in Quantum Information Science and Engineering: Lessons, Challenges, and a Roadmap from the NSF Research Traineeship Programs

Yohannes Abate, Victor Acosta, Alessandro Alabastri, Mehmet Aydeniz, Viktoriia E. Babicheva, Lincoln D. Carr, I-Tung Chen, Wandi Ding, Tara Drake, Mattias Fitzpatrick, Kai-Mei C. Fu, Jay Gupta, Kaden R. A. Hazzard, Sophia E. Hayes, Jin Hu, Hilary M. Hurst, Sohrab Ismail-Beigi, Ehsan Khatami, Junichiro Kono, Cheng-Yu Lai, Xiuling Li, Yingmei Liu, Sara Mouradian, Kater Murch, Borja Peropadre, Zoe Phillips, Daniela R. Radu, Akshay Sawhney, James Saslow, James Scoville, Meenakshi Singh, George Siopsis, David Weld, Chee Wei Wong

2026 arXiv arXiv preprint

Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

Yash Vardhan Tomar, Dheeraj Peddireddy, Vaneet Aggarwal

2026 arXiv arXiv preprint

Grokking and epoch-wise double descent in quantum neural networks

Daniel Pranjić, Marco Roth, Christian Tutschku

2026 arXiv arXiv preprint

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