10 citations · 25 across the 11 of their papers we have counts for
11 papers
Distributed quantum architecture search using multi-agent reinforcement learning
Mikhail Sergeev, Georgii Paradezhenko, Daniil Rabinovich +1
Quantum architecture search (QAS) automates the design of parameterized quantum circuits for variational quantum algorithms. The framework finds a well-suited problem-specific stru…
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…
Probabilistic tensor optimization of quantum circuits for the max--cut problem
G. V. Paradezhenko, A. A. Pervishko, D. Yudin
We propose a technique for optimizing parameterized circuits in variational quantum algorithms based on the probabilistic tensor sampling optimization. This method allows one to re…
Time-space bi-fractional drift-diffusion equation for anomalous electrochemical transport
Anis Allagui, Georgii Paradezhenko, Anastasiia Pervishko +2
The Debye-Falkenhagen differential equation is commonly used as a mean-field macroscopic model for describing electrochemical ionic drift and diffusion in dilute binary electrolyte…
Tensor train optimization of parametrized quantum circuits
Georgii Paradezhenko, Anastasiia Pervishko, Dmitry Yudin
We examine a particular realization of derivative-free method as implemented on tensor train based optimization to the variational quantum eigensolver. As an example, we consider p…
Fractional Marcus-Hush-Chidsey-Yakopcic current-voltage model for redox-based resistive memory devices
Georgii Paradezhenko, Dmitrii Prodan, Anastasiia Pervishko +2
We propose a circuit-level model combining the Marcus-Hush-Chidsey electron current equation and the Yakopcic equation for the state variable for describing resistive switching mem…