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 2245-2256 of 4,297
Detecting Fraudulent Services on Quantum Cloud Platforms via Dynamic Fingerprinting
Jindi Wu, Tianjie Hu, Qun Li
Detecting Quantum and Classical Phase Transitions via Unsupervised Machine Learning of the Fisher Information Metric
Victor Kasatkin, Evgeny Mozgunov, Nicholas Ezzell, Daniel Lidar
Developing the Knowledge Management System Framework in National Company: A Case Study of XYZ Company in Indonesia
Ali Nurdin, Muharman Lubis, Hasan Abdullah Muhammad, Muhammad Naufal Wirawan, Fitri Addini Firdaus
Development and Justification of a Physical Layer Model Based on Monitoring Data for Quantum Key Distribution
Gian-Luca Haiden
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
Samuel Yen-Chi Chen
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Hoang-Quan Nguyen, Xuan Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu
Digital Precoder-Combiner and Power Allocation Optimization in MU MIMO-NOMA: A Quantum Neural Network Approach
Lia Suci Waliani, Soo-Young Shin
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning
Runyue Wang, Yu Tian, Pietro Liò, Ginestra Bianconi
Directed st-connectivity with few paths is in quantum logspace
Simon Apers, Roman Edenhofer
Discovering emergent connections in quantum physics research via dynamic word embeddings
Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg
Discovering Local Hidden-Variable Models for Arbitrary Multipartite Entangled States and Arbitrary Measurements
Nick von Selzam, Florian Marquardt
Discrete Randomized Smoothing Meets Quantum Computing
Tom Wollschläger, Aman Saxena, Nicola Franco, Jeanette Miriam Lorenz, Stephan Günnemann