Quantum Machine Learning
3,957 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 3577-3588 of 3,957
Towards Optimal Separations between Quantum and Randomized Query Complexities
Avishay Tal
Training of quantum circuits on a hybrid quantum computer.
Zhu D, Linke NM, Benedetti M, Landsman KA, Nguyen NH, Alderete CH, Perdomo-Ortiz A, Korda N, Garfoot A, Brecque C, Egan L, Perdomo O, Monroe C.
Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac, Maria Schuld, Nathan Killoran
Update of prior probabilities by minimal divergence
Jan Naudts
Variational Quantum Algorithms for Dimensionality Reduction and Classification
Jin-Min Liang, Shu-Qian Shen, Ming Li, Lei Li
Variational Quantum Circuits for Quantum State Tomography
Yong Liu, Dongyang Wang, Shichuan Xue, Anqi Huang, Xiang Fu, Xiaogang Qiang, Ping Xu, He-Liang Huang, Mingtang Deng, Chu Guo, Xuejun Yang, Junjie Wu
Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang
64-qubit quantum circuit simulation.
Chen ZY, Zhou Q, Xue C, Yang X, Guo GC, Guo GP.
A belief propagation algorithm based on domain decomposition
Brad Lackey
A Comparison of the Bravyi-Kitaev and Jordan-Wigner Transformations for the Quantum Simulation of Quantum Chemistry.
Tranter A, Love PJ, Mintert F, Coveney PV.
A framework for algorithm deployment on cloud-based quantum computers
Sukin Sim, Yudong Cao, Jonathan Romero, Peter D. Johnson, Alan Aspuru-Guzik
A machine learning approach to the Berezinskii-Kosterlitz-Thouless transition in classical and quantum models
M. Richter-Laskowska, H. Khan, N. Trivedi, M. M. Maśka