Quantum Machine Learning
4,297 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 985-996 of 4,297
Photonic Quantum Computing and Quantum Topological Data Analysis: A DeepTech Landscape for HealthTech, ClimateTech and FinTech
Murali Krishna Pasupuleti
Photonic Quantum-Enhanced Knowledge Distillation
Kuan-Cheng Chen, Shang Yu, Chen-Yu Liu, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Yen Jui Chang, Wei-Hao Huang, Felix Burt, Esperanza Cuenca Gomez, Zohim Chandani, William Clements, Ian Walmsley, Kin K. Leung
Photoswitches for ion channel regulation: expanding the scope of phototherapy through computational chemistry.
Cholasseri R, De S
Physics-Aware Learnability: From Set-Theoretic Independence to Operational Constraints
Jeongho Bang, Kyoungho Cho
Physics-Based versus Data-Driven Classification of Single-Photon Quantum Emitters from Sparse Autocorrelation Data
Nhat Minh Nguyen, Md Shakhawath Hossain, Duc Anh Ngo, Chaohao Chen, Xiaoxue Xu, Toan Trong Tran, Carlo Bradac
Physics-Guided Linear Mapper for Quantum Error Mitigation
Tulsi Chaudhari, Krishna Bhatia, Shalini Devendrababu, Srinjoy Ganguly, Luis Gerardo Ayala Bertel
Physics-guided machine learning for sim-to-real calibration of NV diamond magnetometers
Jonathan Daniel, Martin Y. Kim, Jesse Hernandez, Emanuel Suarez, Sangwoo Lee, Jinhee Lee, Je-Hyung Kim
Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction.
Schwade M, Zhang S, Vonhoff F, Delgado FP, Egger DA
Physics-Informed Learning of Effective Error Processes from Limited Noisy Transmon Measurements for Robust QAOA Reliability
Ebrahim Khaleghian, Özgür E. Müstecaplıoğlu
Physics-informed neural networks for the quantum droplets in binary Bose–Einstein condensates
Dongshuai Liu, Boris A. Malomed, Wen Zhang
Physics-Informed Quantum Machine Learning with Hard Constraint Embedding for Nonlinear Differential Equations of the First Order
Mengke Xu, Xi Li, Xiao Chen, Xunan Wang, Wanli Huo, Long Ma, Weiqi Yan
Physics-informed transfer learning via frontier orbital pretraining for prediction of polymer electronic properties.
Meng P, Song J, Feng J, Ning T, You Z, Yu C, Gong L