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 397-408 of 4,297
Distance learning from projective measurements as an information-geometric probe of many-body physics
Oleksii Malyshev, Simon M. Linsel, Fabian Grusdt, Annabelle Bohrdt, Eugene Demler, Ivan Morera
Distilling the knowledge with quantum neural networks
Yuxuan Yan, Sitian Qian, Qi Zhao, Xingjian Zhang
Distributed Hyperbolic Floquet Codes under Depolarizing and Erasure Noise
Aygul Azatovna Galimova
Distributed quantum inner product estimation with structured random circuits
Congcong Zheng, Kun Wang, Xutao Yu, Ping Xu, Zaichen Zhang
DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting
Prabhjot Singh, Adel N. Toosi, Rajkumar Buyya
Distribution-Guided and Constrained Quantum Machine Unlearning
Nausherwan Malik, Zubair Khalid, Muhammad Faryad
Divide et impera: hybrid multinomial classifiers from quantum binary models
Simone Roncallo, Angela Rosy Morgillo, Seth Lloyd, Chiara Macchiavello, Lorenzo Maccone
DL_FFLUX Refactored: Accelerating Quantum Chemical Topology Simulations With Optimized Parallelization
Mohamadhosein Nosratjoo, Michael K. Bane, Paul L. A. Popelier
Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks
Chi-Sheng Chen, En-Jui Kuo
Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
Sudip Vhaduri, Ryan Gammon, Sayanton Dibbo
Does the diffuse OH-stretch band in the IR spectrum of protonated oxalate exhibit quantum chaos?
Qu C, Houston PL, Bowman JM
Dose-report-driven body weight estimation in diagnostic CT using a practical machine learning framework.
Ichikawa H, Koori N, Ichikawa S, Sawane Y, Shibutani T, Terabe M, Kodama N