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 769-780 of 987
Refined quantum gates for $Λ$-type atom-photon hybrid systems
Yi-Ming Wu, Gang Fan, Fang-Fang Du
Relative homotopy approach to topological phases in quantum walks
Andrzej Grudka, Marcin Karczewski, Pawel Kurzynski, Jan Wojcik, Antoni Wojcik
Remote Non-Invasive Fabry-Pérot Cavity Spectroscopy for Label-Free Sensing
Abeer Al Ghamdi, Benjamin Dawson, Gin Jose, Almut Beige
Replacing Neural Networks by Optimal Analytical Predictors for the Detection of Phase Transitions
Julian Arnold, Frank Schäfer
Representation Theory for Geometric Quantum Machine Learning
Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, M. Cerezo
Resolving non-perturbative renormalization of a microwave-dressed weakly anharmonic superconducting qubit
Byoung-moo Ann, Sercan Deve, Gary A. Steele
Resource frugal optimizer for quantum machine learning
Charles Moussa, Max Hunter Gordon, Michal Baczyk, M. Cerezo, Lukasz Cincio, Patrick J. Coles
Resource-efficient simulation of noisy quantum circuits and application to network-enabled QRAM optimization
Luís Bugalho, Emmanuel Zambrini Cruzeiro, Kevin C. Chen, Wenhan Dai, Dirk Englund, Yasser Omar
Response of open two-band systems to a momentum-carrying single-mode quantized field
Xue Han, Kang Xue, X. X. Yi
Retrieving space-dependent polarization transformations via near-optimal quantum process tomography
Francesco Di Colandrea, Lorenzo Amato, Roberto Schiattarella, Alexandre Dauphin, Filippo Cardano
Revealing microcanonical phases and phase transitions of strongly correlated electrons via time-averaged classical shadows
Gaurav Gyawali, Mabrur Ahmed, Eric Aspling, Luke Ellert-Beck, Michael J. Lawler
Reversible computation and the causal structure of space-time
Anandamay Das Bhowmik, Preeti Parashar