activity
20082026
most citedMacroscopic quantum information processing using spin coherent states

68 citations · 309 across the 15 of their papers we have counts for

collaborators

15 papers

quant-ph2026

Macroscopic entanglement distribution with atomic ensembles

Shuang Li, Jin Hu, Ilia D. Lazarev +4

The distribution of entanglement is a crucial task for quantum communication towards realizing a globe-spanning quantum internet. Recently a protocol for deterministic long-distanc…

quant-ph2024

Quantum repeater protocol for deterministic distribution of macroscopic entanglement

Alexey N. Pyrkov, Ilia D. Lazarev, Tim Byrnes

Distributing long-distance entanglement is a fundamental goal that is necessary for a variety of tasks such as quantum communication, distributed quantum computing, and quantum met…

quant-ph2024

Photon loss effects on light-mediated non-Gaussian entangled Bose-Einstein condensates projecting with different photon measurement outcomes

Shuai Gao, Manish Chaudhary, Alexey N. Pyrkov +6

The theory of quantum information processing for macroscopic qubits is based on the fact that every macroscopic qubit has a conserved number of particles. However, from an experime…

quant-ph2021

Global sensitivity analysis for optimization of the Trotter-Suzuki decomposition

Alexey N. Pyrkov, Yurii Zotov, Jiangyu Cui +1

The Trotter-Suzuki decomposition is one of the main approaches for realization of quantum simulations on digital quantum computers. Variance-based global sensitivity analysis (the…

quant-ph2020★ 8 cited

Hybrid quantum-classical unsupervised data clustering based on the self-organizing feature map

Ilia D. Lazarev, Marek Narozniak, Tim Byrnes +1

Unsupervised machine learning is one of the main techniques employed in artificial intelligence. We introduce an algorithm for quantum-assisted unsupervised data clustering using t…

quant-ph2020★ 32 cited

Remote state preparation of two-component Bose-Einstein condensates

Manish Chaudhary, Matteo Fadel, Ebubechukwu O. Ilo-Okeke +3

A protocol for remote state preparation is proposed for spin ensembles, where the aim is to prepare a state with a given set of spin expectation values on a remote spin ensemble us…