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 6925-6936 of 19,132

Resonant analogue configurations in atomic condensates

Juan Ramón Muñoz de Nova, Pablo Fernández Palacios, Pedro Alcázar Guerrero, Ivar Zapata, Fernando Sols

2024 arXiv arXiv preprint

Resonator-mediated quantum gate between distant charge qubits

Florian Kayatz, Jonas Mielke, Guido Burkard

2024 arXiv arXiv preprint

Resource overheads and attainable rates for trapped-ion lattice surgery

Hudson Leone, Thinh Le, S. Srikara, Simon Devitt

2024 arXiv arXiv preprint

Resource-adaptive quantum flow algorithms for quantum simulations of many-body systems: sub-flow embedding procedures

Karol Kowalski, Nicholas P. Bauman

2024 arXiv arXiv preprint

Resource-aware scheduling of multiple quantum circuits on a hardware device

Debasmita Bhoumik, Ritajit Majumdar, Susmita Sur-Kolay

2024 arXiv arXiv preprint

Resource-efficient algorithm for estimating the trace of quantum state powers

Myeongjin Shin, Junseo Lee, Seungwoo Lee, Kabgyun Jeong

2024 arXiv arXiv preprint

Resource-efficient high-threshold fault-tolerant quantum computation with weak nonlinear optics

Kosuke Fukui, Peter van Loock

2024 arXiv arXiv preprint

Resource-efficient quantum correlation measurements via multicopy neural network methods

Patrycja Tulewicz, Karol Bartkiewicz, Adam Miranowicz, Franco Nori

2024 arXiv arXiv preprint

Resource-optimized fault-tolerant simulation of the Fermi-Hubbard model and high-temperature superconductor models

Angus Kan, Benjamin Symons

2024 arXiv arXiv preprint

Resource-Optimized Grouping Shadow for Efficient Energy Estimation

Min Li, Mao Lin, Matthew J. S. Beach

2024 arXiv arXiv preprint

Resourcefulness of non-classical continuous-variable quantum gates

Massimo Frigerio, Antoine Debray, Nicolas Treps, Mattia Walschaers

2024 arXiv arXiv preprint

Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry

Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

2024 arXiv arXiv preprint