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 2485-2496 of 3,957
Impact of Data Augmentation on QCNNs
Leting Zhouli, Peiyong Wang, Udaya Parampalli
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Santanu Ganguly
Improvement in Variational Quantum Algorithms by Measurement Simplification
Jaehoon Hahm, Hayeon Kim, Young June Park
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien
Incentivising Demand Side Response through Discount Scheduling using Hybrid Quantum Optimization
David Bucher, Jonas Nüßlein, Corey O'Meara, Ivan Angelov, Benedikt Wimmer, Kumar Ghosh, Giorgio Cortiana, Claudia Linnhoff-Popien
Inferring physical laws by artificial intelligence based causal models
Jorawar Singh, Kishor Bharti, Arvind
INFLUENCE OF QUANTUM LEARNING MODELS ASSISTED WITH ASK FLASHCARD MEDIA ON WRITING SKILLS
Siti Fatimah
Information-thermodynamic uncertainty in intelligent self-organized fuzzy control systems and extractable work for thermodynamic control force from hidden quantum information
Сергей Викторович Ульянов, Дарья Петровна Зрелова, Алла Александровна Шевченко, Андрей Владимирович Шевченко
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