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 12121-12132 of 19,132

Epsilon-nets, unitary designs and random quantum circuits

Michał Oszmaniec, Adam Sawicki, Michał Horodecki

2020 arXiv arXiv preprint

Equivalence of three classical algorithms with quantum side information: Privacy amplification, error correction, and data compression

Toyohiro Tsurumaru

2020 arXiv arXiv preprint

Error correction of a logical grid state qubit by dissipative pumping

Brennan de Neeve, Thanh Long Nguyen, Tanja Behrle, Jonathan Home

2020 arXiv arXiv preprint

Error mitigation on a near-term quantum photonic device

Daiqin Su, Robert Israel, Kunal Sharma, Haoyu Qi, Ish Dhand, Kamil Brádler

2020 arXiv arXiv preprint

Error mitigation via verified phase estimation

Thomas E. O'Brien, Stefano Polla, Nicholas C. Rubin, William J. Huggins, Sam McArdle, Sergio Boixo, Jarrod R. McClean, Ryan Babbush

2020 arXiv arXiv preprint

Error protected qubits in a silicon photonic chip

Caterina Vigliar, Stefano Paesani, Yunhong Ding, Jeremy C. Adcock, Jianwei Wang, Sam Morley-Short, Davide Bacco, Leif K. Oxenløwe, Mark G. Thompson, John G. Rarity, Anthony Laing

2020 arXiv arXiv preprint

Error Rates and Resource Overheads of Repetition Cat Qubits

Jérémie Guillaud, Mazyar Mirrahimi

2020 arXiv arXiv preprint

Error-Resilient Floquet Geometric Quantum Computation

Yuan-Sheng Wang, Bao-Jie Liu, Shi-Lei Su, Man-Hong Yung

2020 arXiv arXiv preprint

Error-robust quantum logic optimization using a cloud quantum computer interface

Andre R. R. Carvalho, Harrison Ball, Michael J. Biercuk, Michael R. Hush, Felix Thomsen

2020 arXiv arXiv preprint

Estimating expectation values using approximate quantum states

Marco Paini, Amir Kalev, Dan Padilha, Brendan Ruck

2020 arXiv arXiv preprint

Estimating heating times in periodically driven quantum many-body systems via avoided crossing spectroscopy

Artem Rakcheev, Andreas M. Läuchli

2020 arXiv arXiv preprint

Estimating the degree of non-Markovianity using machine learning

Felipe F. Fanchini, Göktuğ Karpat, Daniel Z. Rossatto, Ariel Norambuena, Raúl Coto

2020 arXiv arXiv preprint