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20152026
most citedQuantum-secured blockchain

243 citations · 1.6k across the 79 of their papers we have counts for

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Showing 2024 · quant-phShow all

9 papers · 2 filters

quant-ph2024★ 8 cited

Routing algorithm within the multiple non-overlapping paths approach for quantum key distribution networks

Evgeniy O. Kiktenko, Andrey Tayduganov, Aleksey K. Fedorov

We develop a novel key routing algorithm for quantum key distribution (QKD) networks that utilizes a distribution of keys between remote, i.e., not directly connected by a QKD link…

quant-ph2024★ 1 cited

Transpiling quantum assembly language circuits to a qudit form

Denis A. Drozhzhin, Anastasiia S. Nikolaeva, Evgeniy O. Kiktenko +1

In this paper, we introduce the workflow for converting qubit circuits represented by Open Quantum ASseMbly format (OpenQASM, also known as QASM) into the qudit form for execution…

quant-ph2024★ 1 cited

Emergence of global receptive fields capturing multipartite quantum correlations

Oleg M. Sotnikov, Ilia A. Iakovlev, Evgeniy O. Kiktenko +3

In quantum physics, even simple data with a well-defined structure at the wave function level can be characterized by extremely complex correlations between its constituent element…

quant-ph2024★ 12 cited

Scalable improvement of the generalized Toffoli gate realization using trapped-ion-based qutrits

Anastasiia S. Nikolaeva, Ilia V. Zalivako, Alexander S. Borisenko +8

An efficient implementation of the Toffoli gate is of conceptual importance for running various quantum algorithms, including Grover's search and Shor's integer factorization. Howe…

quant-ph2024★ 2 cited

Supervised binary classification of small-scale digit images and weighted graphs with a trapped-ion quantum processor

Ilia V. Zalivako, Alexander I. Gircha, Evgeniy O. Kiktenko +14

Here we present the results of benchmarking a quantum processor based on trapped Yb ions by performing basic quantum machine learning algorithms. Using a quantum-enha…

quant-ph2024★ 9 cited

Barren plateaus are swamped with traps

Nikita A. Nemkov, Evgeniy O. Kiktenko, Aleksey K. Fedorov

Two main challenges preventing efficient training of variational quantum algorithms and quantum machine learning models are local minima and barren plateaus. Typically, barren plat…