Trapped-Ion Quantum Computing

987 papers for year 2022

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 733-744 of 987

Quantum Thermodynamics applied for Quantum Refrigerators cooling down a qubit

Hideaki Okane, Shunsuke Kamimura, Shingo Kukita, Yasushi Kondo, Yuichiro Matsuzaki

2022 arXiv arXiv preprint

Quantum tomography of Rydberg atom graphs by configurable ancillas

Kangheun Kim, Jaewook Ahn

2022 arXiv arXiv preprint

Quantum trajectories of dissipative time-crystals

Albert Cabot, Leah Sophie Muhle, Federico Carollo, Igor Lesanovsky

2022 arXiv arXiv preprint

Quantum Vision Transformers

El Amine Cherrat, Iordanis Kerenidis, Natansh Mathur, Jonas Landman, Martin Strahm, Yun Yvonna Li

2022 arXiv arXiv preprint

Quantum walk in (1+1)-dimensional spacetime for Majorana dynamics with high order approximation in NISQ

Wei-Ting Wang, Xiao-Gang He, Hsien-Chung Kao, Ching-Ray Chang

2022 arXiv arXiv preprint

Quantum walks on random lattices: Diffusion, localization and the absence of parametric quantum speed-up

Rostislav Duda, Moein N. Ivaki, Isac Sahlberg, Kim Pöyhönen, Teemu Ojanen

2022 arXiv arXiv preprint

Quantum Work Capacitances: ultimate limits for energy extraction on noisy quantum batteries

Salvatore Tirone, Raffaele Salvia, Stefano Chessa, Vittorio Giovannetti

2022 arXiv arXiv preprint

Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms

Teague Tomesh, Nicholas Allen, Daniel Dilley, Zain Saleem

2022 arXiv arXiv preprint

Quantum-enhanced absorption spectroscopy with bright squeezed frequency combs

Alexandre Belsley

2022 arXiv arXiv preprint

Quantum-enhanced mean value estimation via adaptive measurement

Kaito Wada, Kazuma Fukuchi, Naoki Yamamoto

2022 arXiv arXiv preprint

Quantum-inspired algorithm applied to extreme learning

Iori Takeda, Souichi Takahira, Kosuke Mitarai, Keisuke Fujii

2022 arXiv arXiv preprint

Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection

Jack Y. Araz, Michael Spannowsky

2022 arXiv arXiv preprint