2 papers
quant-ph2026
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…
quant-ph2025
Towards practical non-Markovianity measures: Normalization and regularization techniques
L. A. Mazhorina, N. D. Korolev, N. V. Morozov +15
Measures characterizing the non-Markovianity degree of the quantum dynamics have several drawbacks when applied to real devices. They depend on the chosen measurement time interval…