6 papers
Mølmer-Sørensen gates in trapped-ions chains in the presence of correlated noise
D. V. Donchenko, E. A. Anikin, O. Lakhmanskaya +1
We analyze the impact of correlated laser frequency noise on Mølmer-Sørensen gates in qubit registers based on trapped-ion chains. Using perturbation theory, we calculate gate fi…
Machine Learning-based Quantum Error Mitigation for Variational Algorithms
Nikita Korolev, Kirill Lakhmanskiy, Daniil Rabinovich
Machine Learning-based quantum error mitigation (ML-QEM) has emerged as a promising approach for improving the performance of noisy quantum algorithms. However, existing ML-QEM met…
Zero-Noise Extrapolation via Cyclic Permutations of Quantum Circuit Layouts
Zahar Sayapin, Daniil Rabinovich, Nikita Korolev +1
Increasing the utility of currently available Noisy Intermediate-Scale Quantum (NISQ) devices requires developing efficient methods to mitigate hardware errors. In this work we pro…
Lemniscate phase trajectories for high-fidelity GHZ state preparation in trapped-ion chains
Evgeny V. Anikin, Andrey Chuchalin, Dimitrii Donchenko +2
In trapped-ion chains, multipartite GHZ states can be prepared natively with the help of a single bichromatic laser pulse. However, higher-order terms in the expansion in the Lamb-…
Problem specific ion native ansatz for combinatorial optimization
Georgii Paradezhenko, Daniil Rabinovich, Ernesto Campos +1
Variational quantum algorithms have become a standard approach for solving a wide range of problems on near-term quantum computers. Identifying an appropriate ansatz configuration…
Fast Mølmer-Sørensen gates in trapped-ion quantum processors with compensated carrier transition
Evgeny Anikin, Andrey Chuchalin, Nikita Morozov +2
Carrier transition is one of the major factors hindering the high-speed implementation of the Mølmer-Sørensen gates in trapped-ion quantum processors. We present an approach to d…