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 2257-2268 of 4,297
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
Distributed Partial Quantum Consensus of Qubit Networks With Connected Topologies.
Jin X, Cao Z, Tang Y, Kurths J.
Distributed Quantum Approximate Optimization Algorithm on a Quantum-Centric Supercomputing Architecture
Seongmin Kim, Vincent R. Pascuzzi, Zhihao Xu, Tengfei Luo, Eungkyu Lee, In-Saeng Suh
Distributed quantum machine learning via classical communication
Kiwmann Hwang, Hyang-Tag Lim, Yong-Su Kim, Daniel K Park, Yosep Kim
Do Quantum Neural Networks have Simplicity Bias?
Jessica Pointing
Downtime Required for Bitcoin Quantum-Safety
Jamie J. Pont, Joseph J. Kearney, Jack Moyler, Carlos A. Perez-Delgado
Dynamic parameterized quantum circuits: expressive and barren-plateau free
Abhinav Deshpande, Marcel Hinsche, Khadijeh Najafi, Kunal Sharma, Ryan Sweke, Christa Zoufal
Effect of Pure Dephasing Quantum Noise in the Quantum Search Algorithm Using Atos Quantum Assembly.
da Silva MHF, Jesus GF, Cruz C.
Effectiveness of Hybrid Quantum-Classical and Quanvolutional Neural Networks for image classification
Yevhenii Trochun, Yuri Gordienko