Quantum Machine Learning
22 papers for year 2020 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 1-12 of 22
A new state of matter of quantum droplets
Mingyang Guo, Tilman Pfau
Advances in Quantum-Secure Banking: Cryptographic Solutions
Timothy Olatunji Ogundola
Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features
Joseph J. Foy, Mena Shenouda, Sahar Ramahi, Samuel Armato, Daniel Thomas Ginat
Exploiting GPU-based Parallelism for Quantum Computer Simulation: A Survey
Sengthai Heng, Taekyung Kim, Youngsun Han
How a Quantum Computer Could Solve a Microkinetic Model
Eric A. Walker, Shreyas Addamane Pallathadka
Introducing Materials for Quantum Technology
Jason M Smith
Modern perspectives of quantum security development as a diffusion qualitative digital model in international knowledge information
Ю. П. Лісовська
Peningkatan Aktivitas dan Hasil Belajar Matematika Siswa SD melalui Metode Quantum Teaching pada Siswa Kelas III Sekolah Dasar
Muhamad Irfan Nawawi
Performance Appraisal and Static Behaviour Modeling of a Nano-scale Flash Memory Cell by Using Quantum Dots' Floating Gate
Rasika Dhavse, Suresh Kumar K., Vivekanand Mishra, Rajendra M Patrikar
Potassium-Induced Passivation of Deep Traps in Bismuth-Doped Hybrid Lead Bromide Perovskite Nanocrystals: Massive Amplification of Photoluminescence Quantum Yield
Shovon Chatterjee, Mainak Ghosal, Khushubo Tiwari, Pratik Sen
Quantum Computer Architecture From Non-Conventional Physical Simulation Up To Encryption Cracking, Machine Learning Application, And More
Hasan Abbas Al-Mohammed, Muhammed Samir Al-Ali, Mahdi Alkaeed
Quantum Computing: An Entanglement Measurement
Mayank Gupta, Manisha J Nene