activity
20152026
most citedExperimental Estimation of Quantum State Properties from Classical Shadows

95 citations · 310 across the 14 of their papers we have counts for

collaborators

14 papers

quant-ph2026

Implementation of two-qubit Rydberg operations on neutral Rb-87 atoms in systems with different intermediate states

I. V. Iukhnovets, O. V. Bychkova, I. B. Bobrov +4

This work presents an experimental setup for implementing two-qubit operations on neutral atoms (Rb) with the possibility of using two different Rydberg excitation schemes.…

quant-ph2026

Addressable Rydberg excitation in arrays of single neutral atoms with a strongly focused flat-top beam

I. V. Iukhnovets, M. Y. Goloshchapov, A. P. Gordeev +4

We present a method for generating a laser beam with flat intensity and phase profiles in the focal region where the beam interacts with neutral Rb atoms in an array of opti…

quant-ph2025

Benchmarking Single-Qubit Gates on a Neutral Atom Quantum Processor

Artem Rozanov, Boris Bantysh, Ivan Bobrov +2

We present benchmarking results for single-qubit gates implemented on a neutral atom quantum processor using Direct Randomized Benchmarking (DRB) and Gate Set Tomography (GST). The…

quant-ph2024

Quantum optical neural networks with programmable nonlinearities

E. A. Chernykh, M. Yu. Saygin, G. I. Struchalin +2

Parametrized quantum circuits are essential components of variational quantum algorithms. Until now, optical implementations of these circuits have relied solely on adjustable line…

quant-ph2023★ 6 cited

Error mitigated variational algorithm on a photonic processor

O. V. Borzenkova, G. I. Struchalin, I. Kondratyev +3

Our study demonstrates successful error mitigation of indistinguishability-related noise in a quantum photonic processor through the application of the zero-noise extrapolation tec…

quant-ph2021★ 2 cited

Benchmarking quantum tomography completeness and fidelity with machine learning

Yong Siah Teo, Seongwook Shin, Hyunseok Jeong +8

We train convolutional neural networks to predict whether or not a set of measurements is informationally complete to uniquely reconstruct any given quantum state with no prior inf…