Quantum Machine Learning
659 papers from Crossref
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 49-60 of 659
Author Correction: Contextual quantum metrology
Jeongwoo Jae, Jiwon Lee, M. S. Kim, Kwang-Geol Lee, Jinhyoung Lee
Bayesian rational agents in iterated quantum games
John B. DeBrota, Peter J. Love
Benchmarking fault-tolerant quantum computing hardware via QLOPS
Linghang Kong, Fang Zhang, Jianxin Chen
BEYOND THE PANDEMIC: LIFE POST COVID-19 THROUGH LOSS, GRIEF AND ADJUSTMENT
ZHEN FOONG RAYMOND FOO, IAN SHEN GOH, JANAK ASHOK TECKWANI, MAHPARA REYAZ KHAN, AHMAD MUSTAQIM YUSOFF, ZAINAH AHMAD ZAMANI
Boltzmann sampling by diabatic quantum annealing
Anonymous
Brain tumor segmentation and classification using an attention-based quantum U-Net framework
Rakib Hossain, Mujtahid Alam, Shuhena Salam Aonty
Bridging quantum and classical descriptions of spin dynamics in a Dzyaloshinsky–Moriya trimer
Robert Wieser, Raúl Sánchez Galán
Bridging quantum physics and circuit design: A dynamic master equation model for silicon single-electron transistors
Amine Touati, Nabil Zeiri, Hamed Dehdashti Jahromi, Adel Kalboussi, Mohammed N. Murshed
Causal inference and explainable artificial intelligence based quantum deep learning for remaining useful lifetime prediction
Manoranjan Gandhudi, Alphonse P․J․A․, Sharan Srinivas, Gangadharan G․R․
Channel-aware dynamic routing for optimizing coexistence of quantum and classical channels in DWDM networks
Yubo Ding, Lin Bi, Gopal Verma
Characterizing the Burst Error Correction Ability of Quantum Cyclic Codes
Jihao Fan, Min-Hsiu Hsieh
Circuit Theory Based on New Concepts and Its Application to Quantum Theory
Nobuo Nagai, Hirofumi Sanada, Takashi Yahagi