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 6637-6648 of 19,132

Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm

Manpreet Singh Jattana

2024 arXiv arXiv preprint

Quantum Annealing and Tensor Networks: a Powerful Combination to Solve Optimization Problems

Miquel Albertí Binimelis

2024 arXiv arXiv preprint

Quantum Annealing for Active User Detection in NOMA Systems

Romain Piron, Claire Goursaud

2024 arXiv arXiv preprint

Quantum Approximate $k$-Minimum Finding

Minbo Gao, Zhengfeng Ji, Qisheng Wang

2024 arXiv arXiv preprint

Quantum Approximate Optimisation Applied to Graph Similarity

Nicholas J. Pritchard

2024 arXiv arXiv preprint

Quantum Approximate Optimization Algorithm and Quantum-enhanced Markov Chain Monte Carlo: A Hybrid Approach to Data Assimilation in 4DVAR

Abhiram Sripat

2024 arXiv arXiv preprint

Quantum Approximate Optimization: A Computational Intelligence Perspective

Christo Meriwether Keller, Satyajayant Misra, Andreas Bärtschi, Stephan Eidenbenz

2024 arXiv arXiv preprint

Quantum Architecture Search: A Survey

Darya Martyniuk, Johannes Jung, Adrian Paschke

2024 arXiv arXiv preprint

Quantum backflow for two identical particles

Maximilien Barbier, Arseni Goussev

2024 arXiv arXiv preprint

Quantum Beam Splitter as a Quantum Coherence Controller

Li-Ping Yang, Yue Chang

2024 arXiv arXiv preprint

Quantum Benchmarking of High-Fidelity Noise-Biased Operations on a Detuned-Kerr-Cat Qubit

Bingcheng Qing, Ahmed Hajr, Ke Wang, Gerwin Koolstra, Long B. Nguyen, Jordan Hines, Irwin Huang, Bibek Bhandari, Larry Chen, Ziqi Kang, Christian Jünger, Noah Goss, Nikitha Jain, Hyunseong Kim, Kan-Heng Lee, Akel Hashim, Nicholas E. Frattini, Zahra Pedramrazi, Justin Dressel, Andrew N. Jordan, David I. Santiago, Irfan Siddiqi

2024 arXiv arXiv preprint

Quantum Boltzmann machine learning of ground-state energies

Dhrumil Patel, Daniel Koch, Saahil Patel, Mark M. Wilde

2024 arXiv arXiv preprint