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 1909-1920 of 3,957
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
Discrete-Time Quantum Walks: A Quantum Advantage for Graph Representation
Boxuan Ai
Disentanglement in dephasing channel with machine learning
Qihang Liu, Anran Qiao, Jung-Tsung Shen
Dissipation alters modes of information encoding in small quantum reservoirs near criticality
Krai Cheamsawat, Thiparat Chotibut
Distributed and Secure Kernel-Based Quantum Machine Learning
Arjhun Swaminathan, Mete Akgün