2 citations · 2 across the 1 of their papers we have counts for
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Method for noise-induced regularization in quantum neural networks
Viacheslav Kuzmin, Wilfrid Somogyi, Ekaterina Pankovets +1
In the current quantum computing paradigm, significant focus is placed on the reduction or mitigation of quantum decoherence. When designing new quantum processing units, the gener…
Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation
Victor Martinez, Armando Angrisani, Ekaterina Pankovets +2
As quantum devices continue to grow in size but remain affected by noise, it is crucial to determine when and how they can outperform classical computers on practical tasks. A cent…
Robustness of Variational Quantum Algorithms against stochastic parameter perturbation
Daniil Rabinovich, Ernesto Campos, Soumik Adhikary +3
Variational quantum algorithms are tailored to perform within the constraints of current quantum devices, yet they are limited by performance-degrading errors. In this study, we co…