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 2341-2352 of 4,297
Impact of Measurement Noise on Escaping Saddles in Variational Quantum Algorithms
Eriko Kaminishi, Takashi Mori, Michihiko Sugawara, Naoki Yamamoto
Implementation Guidelines and Innovations in Quantum LSTM Networks
Yifan Zhou, Chong Cheng Xu, Mingi Song, Yew Kee Wong, Kangsong Du
Implementing multi-controlled X gates using the quantum Fourier transform
Vladimir V. Arsoski
Improve Variational Quantum Eigensolver by Many-Body Localization
Li Xin, Zhang-qi Yin
Improved algorithms for learning quantum Hamiltonians, via flat polynomials
Shyam Narayanan
Improved Belief Propagation Decoding Algorithms for Surface Codes
Jiahan Chen, Zhengzhong Yi, Zhipeng Liang, Xuan Wang
Improving Student Learning Outcomes in Islamic Education Learning through the Quantum Learning Model at SD Negeri 0110 Hutarimbaru
Siti Zubaidah Lubis, Emmi Rahmi Nasution, Lisna Wati Lubis
Improving Student Learning Outcomes through the Quantum Learning Model in Islamic Education Learning at SD Negeri 0109 Janjilobi
Nur Laila Annisa Lubis, Nuraliah Nasution, Juliana Siregar
Improving student understanding of the number of distinct many-particle states for a system of identical particles with a fixed number of available single-particle states
Christof Keebaugh, Emily Marshman, Chandralekha Singh
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek, Bertrand Le Saux, Jakub Nalepa
India's Quantum Technology Advancements: National Security Implications for Pakistan
Zohaib Altaf, Nimra Javed
Information plane and compression-gnostic feedback in quantum machine learning
Nathan Haboury, Mo Kordzanganeh, Alexey Melnikov, Pavel Sekatski