Quantum Machine Learning
4,009 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 1441-1452 of 4,009
Bridging quantum and classical computing for partial differential equations through multifidelity machine learning
Bruno Jacob, Amanda A. Howard, Panos Stinis
Can Entanglement Measures Predict LOCC Majorization Ordering? A Machine Learning Study of Two-Qubit Systems
Erol V.
Capacity and SKR tradeoff in coexisting classical and CV-QKD metropolitan-reach optical links
Cagla Ozkan, Lucas Alves Zischler, Kadir Gumus, Joao dos Reis Frazao, Cristian Antonelli, Chigo Okonkwo
Categorical Framework for Quantum-Resistant Zero-Trust AI Security
I. Cherkaoui, C. Clarke, J. Horgan, I. Dey
Centipedes Leap into the Quantum Realm
Kaytki Chakankar, Xinhui Tang, Yiguo Zhang
Certified Lower Bounds and Efficient Estimation of Minimum Accuracy in Quantum Kernel Methods
Demerson N. Gonçalves, Tharso D. Fernandes, Andrias M. M. Cordeiro, Pedro H. G. Lugao, João T. Dias
Christ and the Quantum: Fundamentals of Theology of Science
Mark Harris
CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification
Junhao Chen, Yifan Zhou, Hanqi Jiang, Yi Pan, Yiwei Li, Huaqin Zhao, Wei Zhang, Yingfeng Wang, Tianming Liu
Classification using quantum kernels in a radial basis function network
Emily Micklethwaite, Adam Lowe
Closed-Loop Phase-Coherence Compensation for Superconducting Qubits Integrated Computational and Hardware Validation of the Aurora Method
Futoshi Hamanoue
Coalition of explainable artificial intelligence and quantum computing in precision medicine
Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay
Coherence Fraction in Grover Search Algorithm
Si-Qi Zhou, Hai Jin, Jin-Min Liang, Shao-Ming Fei, Yunlong Xiao, Zhihao Ma