Quantum Machine Learning
521 papers for year 2024
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 217-228 of 521
Investigating Student Participation in Quantum Workforce Initiatives
Michael B. Bennett, Joan É. Arrow, Sasha Novack, Noah D. Finkelstein
Investigating the Use of Multiple Representations in University Courses on Quantum Technologies
Rexigel E, Bley J, Arias A, Qerimi L, Küchemann S, Kuhn J, Widera A.
Investigation on a quantum algorithm for linear differential equations
Xiaojing Dong, Yizhe Peng, Qili Tang, Yin Yang, Yue Yu
Is the time right for a new initiative in mathematical modeling of the lower urinary tract? ICI-RS 2023.
Damaser MS, Valentini FA, Clavica F, Giarenis I
JuliVQC: an Efficient Variational Quantum Circuit Simulator for Near-Term Quantum Algorithms
Wei-You Liao, Xiang Wang, Xiao-Yue Xu, Chen Ding, Shuo Zhang, He-Liang Huang, Chu Guo
L2O-$g^{\dagger}$: Learning to Optimize Parameterized Quantum Circuits with Fubini-Study Metric Tensor
Yu-Chao Huang, Hsi-Sheng Goan
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao, Jonathan Wurtz, Phillip Weinberg, Majd Hamdan, Andrii Zhdanov, Sergio H. Cantu, Hengyun Zhou, Rodrigo Araiza Bravo, Kevin Bagnall, James I. Basham, Joseph Campo, Adam Choukri, Robert DeAngelo, Paige Frederick, David Haines, Julian Hammett, Ning Hsu, Ming-Guang Hu, Florian Huber, Paul Niklas Jepsen, Ningyuan Jia, Thomas Karolyshyn, Minho Kwon, John Long, Jonathan Lopatin, Alexander Lukin, Tommaso Macrì, Ognjen Marković, Luis A. Martínez-Martínez, Xianmei Meng, Evgeny Ostroumov, David Paquette, John Robinson, Pedro Sales Rodriguez, Anshuman Singh, Nandan Sinha, Henry Thoreen, Noel Wan, Daniel Waxman-Lenz, Tak Wong, Kai-Hsin Wu, Pedro L. S. Lopes, Yuval Boger, Nathan Gemelke, Takuya Kitagawa, Alexander Keesling, Xun Gao, Alexei Bylinskii, Susanne F. Yelin, Fangli Liu, Sheng-Tao Wang
Latent Anomaly Detection Through Density Matrices
Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González
Learning high-accuracy error decoding for quantum processors.
Bausch J, Senior AW, Heras FJH, Edlich T, Davies A, Newman M, Jones C, Satzinger K, Niu MY, Blackwell S, Holland G, Kafri D, Atalaya J, Gidney C, Hassabis D, Boixo S, Neven H, Kohli P.
Learning shallow quantum circuits with many-qubit gates
Francisca Vasconcelos, Hsin-Yuan Huang
Learning symmetry-protected topological order from trapped-ion experiments
Nicolas Sadoune, Ivan Pogorelov, Claire L. Edmunds, Giuliano Giudici, Giacomo Giudice, Christian D. Marciniak, Martin Ringbauer, Thomas Monz, Lode Pollet
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegner