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 2833-2844 of 4,297
Inter-temperature Bandwidth Reduction in Cryogenic QAOA Machines
Yosuke Ueno, Yuna Tomida, Teruo Tanimoto, Masamitsu Tanaka, Yutaka Tabuchi, Koji Inoue, Hiroshi Nakamura
Interferometric Neural Networks
Arun Sehrawat
Interpolating Parametrized Quantum Circuits using Blackbox Queries
Lars Simon, Holger Eble, Hagen-Henrik Kowalski, Manuel Radons
Introductory quantum information science coursework at US institutions: Content coverage
Josephine C. Meyer, Gina Passante, Steven J. Pollock, Bethany R. Wilcox
Investigating Imperfect Cloning for Extending Quantum Communication Capabilities.
Iqbal M, Velasco L, Costa N, Napoli A, Pedro J, Ruiz M.
Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer
Junggu Choi, Kion Kim, Soohyun Park, Juyoen Hur, Hyunjung Yang, Younghoon Kim, Hakbae Lee, Sanghoon Han
Investing in the Quantum Future : State of Play and Way Forward for Quantum Venture Capital
Christophe Jurczak
Iteration-Dependent Scaled Min-Sum Decoding for Low-Complexity Key Reconciliation in CV-QKD
Erdem Eray Cil, Laurent Schmalen
Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms
Floyd M. Creevey, Jamie A. Heredge, Martin E. Sevior, Lloyd C. L. Hollenberg
Learning quantum states and unitaries of bounded gate complexity
Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro
Learning quantum systems via out-of-time-order correlators
Thomas Schuster, Murphy Niu, Jordan Cotler, Thomas O'Brien, Jarrod R. McClean, Masoud Mohseni
Learning Restricted Boltzmann Machines with greedy quantum search
Liming Zhao, Aman Agrawal, Patrick Rebentrost