Trapped-Ion Quantum Computing
19,132 papers
Trapped-Ion Quantum Computing Research Context
This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.
Showing 1405-1416 of 19,132
Learning Entanglement Quasiprobability from Noisy and Incomplete Data
Yu-Zhuo Li, Li-Chao Peng, Ke-Mi Xu
Learning error suppression strategies for dynamic quantum circuits
Christopher Tong, Liran Shirizly, Edward H. Chen, Derek S. Wang, Bibek Pokharel
Learning from Radio using Variational Quantum RF Sensing
Ivana Nikoloska
Learning Gaussian optical states with quantum computers
Spencer Dimitroff, John Kallaugher, Ashe Miller, Mohan Sarovar
Learning ground state observables from quantum computing experiments
Ben Jaderberg, Freya Shah, Minjun Jeon, M. Emre Sahin, Christa Zoufal, Kunal Sharma
Learning Hamiltonians for solid-state quantum simulators
Jarosław Pawłowski, Mateusz Krawczyk
Learning Lindblad Dynamics of a Superconducting Quantum Processor
Johann Bock Severin, Malthe A. Marciniak, Rune Thinggaard Birke, Emil Hogedal, Andreas Nylander, Irshad Ahmad, Amr Osman, Janka Biznárová, Marcus Rommel, Anita Fadavi Roudsari, Jonas Bylander, Giovanna Tancredi, Christopher W. Warren, Svend Krøjer, Jacob Hastrup, Morten Kjaergaard
Learning Non-Markovian Noise via Ensemble Optimal Control
Da-Wei Luo, Ting Yu
Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks
Letao Wang, Abdel Lisser, Sreejith Sreekumar, Zeno Toffano
Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model
Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima
Learning quantum disentanglement scheduling from reduced states via modular hybrid policies
Y. -X. Xiao, J. -Z. Han, Z. Zheng, Z. -H. Zhang, M. Xue, J. Li, X. Lv
Learning quantum ground states in the space of measurement outcomes
Kartiek Agarwal