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.
Showing 661-672 of 4,265
HyQuRP: Hybrid quantum-classical neural network with rotational and permutational equivariance for 3D point clouds
Semin Park, Chae-Yeun Park
Identification of impurity configurations in quantum dots from photoionization spectra using machine learning
G.L. Nahapetyan, G. Kolotyan, N. Zeiri, R. Reznik, P.F. Bessarab, P.A. Mantashyan, D.B. Hayrapetyan
Identification of quantum generative circuits with parallel quantum neural network
Zheping Wu, Xiaopeng Huang, Hengyue Jia, Haobin Shi, Wei-Wei Zhang
Identification of xenobiotics interfering with 5α-reductase (SRD5A2) activity.
Kędzierski J, van Diest RE, Allard JA, Erharter AM, Odermatt A, Smieško M
Illustration of Barren Plateaus in Quantum Computing
Gerhard Stenzel, Tobias Rohe, Michael Kölle, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien
Image Classification on IBM Quantum Computers
Junghoon Justin Park, Jiook Cha, Jun-gyeong Park, Hwidong Yoo, Kwangmin Yu
Impact of Circuit Depth versus Qubit Count on Variational Quantum Classifiers for Higgs Boson Signal Detection
Fatih Maulana
Implementation feasibility of experience aided quantum learning in future networks: A survey
Savo Glisic, Beatriz Lorenzo
Implementation of Hybrid Machine Learning on Photonic Crystal Fiber Based Biosensor
Amit Kumar, Pankaj Verma, Himanshu Sharma, Amrindra Pal, Debasish Pal
Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
Saadet Müzehher Eren
Implementation of the multigrid Gaussian-Plane-Wave algorithm with GPU acceleration in PySCF
Rui Li, Xing Zhang, Qiming Sun, Yuanheng Wang, Junjie Yang, Garnet Kin-Lic Chan
Improved Lower Bounds for Learning Quantum Channels in Diamond Distance
Aadil Oufkir, Filippo Girardi