Quantum Machine Learning
521 papers for year 2024
Showing 409-420 of 521
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks
Alessandro Sebastianelli, Francesco Mauro, Giulia Ciabatti, Dario Spiller, Bertrand Le Saux, Paolo Gamba, Silvia Ullo
Quartic quantum speedups for planted inference
Alexander Schmidhuber, Ryan O'Donnell, Robin Kothari, Ryan Babbush
QuAS: Quantum Application Score for benchmarking the utility of quantum computers
Koen J. Mesman, Ward van der Schoot, Matthias Möller, Niels M. P. Neumann
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing
Chuan-Chi Wang, Yu-Cheng Lin, Yan-Jie Wang, Chia-Heng Tu, Shih-Hao Hung
Quixer: A Quantum Transformer Model
Nikhil Khatri, Gabriel Matos, Luuk Coopmans, Stephen Clark
Qureka! Box -- An ENSAR methodology based tool for understanding quantum computing concepts
Abhishek Purohit, Jose Jorge Christen, Richard Kienhoefer, Simon Armstrong, Maninder Kaur, Araceli Venegas-Gomez
QWalkVec: Node Embedding by Quantum Walk
Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa
Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation
Mekena Metcalf, Pablo Andrés-Martínez, Nathan Fitzpatrick
Red-QAOA: Efficient Variational Optimization through Circuit Reduction
Meng Wang, Bo Fang, Ang Li, Prashant Nair
Redefining Lexicographical Ordering: Optimizing Pauli String Decompositions for Quantum Compiling
Qunsheng Huang, David Winderl, Arianne Meijer-van de Griend, Richie Yeung
Reexamination of the realtime protection for user privacy in practical quantum private query
Chun-Yan Wei, Xiao-Qiu Cai, Tian-Yin Wang
Regression of Concurrence via Local Unitary Invariants.
Li M, Wang W, Zhang X, Wang J, Li L, Shen S.