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 7825-7836 of 19,132

Dropout is all you need: robust two-qubit gate with reinforcement learning

Tian-Niu Xu, Yongcheng Ding, José D. Martín-Guerrero, Xi Chen

2023 arXiv arXiv preprint

Dual epitaxial telecom spin-photon interfaces with correlated long-lived coherence

Shobhit Gupta, Yizhong Huang, Shihan Liu, Yuxiang Pei, Natasha Tomm, Richard J. Warburton, Tian Zhong

2023 arXiv arXiv preprint

Dual-VQE: A quantum algorithm to lower bound the ground-state energy

Hanna Westerheim, Jingxuan Chen, Zoë Holmes, Ivy Luo, Theshani Nuradha, Dhrumil Patel, Soorya Rethinasamy, Kathie Wang, Mark M. Wilde

2023 arXiv arXiv preprint

Duality analysis in symmetric group and its application to random tensor network model

Masayuki Ohzeki

2023 arXiv arXiv preprint

Dynamic Hysteresis Across a Dissipative Multi-Mode Phase Transition

Marvin Röhrle, Jens Benary, Erik Bernhart, Herwig Ott

2023 arXiv arXiv preprint

Dynamic quantum circuit compilation

Kun Fang, Munan Zhang, Ruqi Shi, Yinan Li

2023 arXiv arXiv preprint

Dynamic Quantum Group Key Agreement via Tree Key Graphs

Qiang Zhao, Zhuohua Li, John C. S. Lui

2023 arXiv arXiv preprint

Dynamic-ADAPT-QAOA: An algorithm with shallow and noise-resilient circuits

Nikola Yanakiev, Normann Mertig, Christopher K. Long, David R. M. Arvidsson-Shukur

2023 arXiv arXiv preprint

Dynamical Casimir cooling in circuit QED systems

Sadeq S. Kadijani, Nicolás Del Grosso, Thomas L. Schmidt, M. Belén Farias

2023 arXiv arXiv preprint

Dynamical phase and quantum heat at fractional frequencies

George Thomas, Jukka P. Pekola

2023 DOAJ Physical Review Research

Dynamical subset sampling of quantum error correcting protocols

Sascha Heußen, Don Winter, Manuel Rispler, Markus Müller

2023 arXiv arXiv preprint

Dynamical transition in controllable quantum neural networks with large depth

Bingzhi Zhang, Junyu Liu, Xiao-Chuan Wu, Liang Jiang, Quntao Zhuang

2023 arXiv arXiv preprint